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JSM

The American Statistical Association* • Institute of Mathematical Statistics* • International Biometric Society (ENAR and WNAR)*International Chinese Statistical Association • International Indian Statistical Association • International Society for Bayesian AnalysisInternational Statistical Institute • Korean International Statistical Society • Statistical Society of Canada* • Royal Statistical Society

(*indicates the founding societies of JSM)

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Cambridge University Press

Cambridge Series in Statistical and Probabilistic Mathematics

Fundamentals of Nonparametric Bayesian InferenceSubhashis Ghosal Aad van der Vaart

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“Probabilistic inference of massive and complex data has received much attention in statistics and machine learning, and Bayesian nonparametrics is one of the core tools. Fundamentals of Nonparametric Bayesian Inference is the first book to com-prehensively cover models, methods, and theories of Bayesian nonparametrics. Readers can learn basic ideas and intuitions as well as rigorous treatments of under-lying theories and computations from this wonderful book.”

– Yongdai Kim, Seoul National University

“Bayesian nonparametrics has seen amazing theoretical, methodological and com-putational developments in recent years. This timely book gives an authoritative account of the current state of the art by two leading scholars in the field. They masterfully cover all major aspects of the discipline, with an emphasis on asymp-totics, and achieve the rare feat of being simultaneously broad and deep, while preserving the utmost mathematical rigor. This book is, without doubt, a must-read for PhD students and researchers in statistics and probability.”

– Igor Prünster, Bocconi University

“Worth waiting for, this book gives a both global and precise overview on the fun-damentals of Bayesian nonparametrics. It will be extremely valuable as a textbook for Masters and PhD students, along with more experienced researchers, as the authors have managed to gather, link together, and present with great clarity a large part of the major advances in Bayesian nonparametric modeling and theory.”

– Judith Rousseau, Université Paris-Dauphine

Explosive growth in computing power has made Bayesian methods for infinite-di-mensional models – Bayesian nonparametrics – a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the past 20 years to synthesize all aspects of Bayesian nonparametrics, from prior construction to computation and large sample behavior of posteriors. Because understanding the behavior of posteriors is critical to selecting priors that work, the large sample theory is developed systematically, illustrated by various examples of model and prior combinations. Precise sufficient conditions are given, with complete proofs, that ensure desirable posterior properties and behavior. Each chapter ends with historical notes and numerous exercises to deepen and consolidate the reader’s understanding, making the book valuable for graduate students and researchers alike in statistics and machine learning, as well as application areas such as econo-metrics and biostatistics.

CAMBRIDGE SERIES IN STATISTICAL AND PROBABILISTIC MATHEMATICS

Editorial Board:Z. Ghahramani, Department of Engineering,

University of CambridgeR. Gill, Mathematical Institute, Leiden UniversityF. P. Kelly, Department of Pure Mathematics and

Mathematical Statistics, University of CambridgeB. D. Ripley, Department of Statistics, University of

OxfordS. Ross, Department of Industrial and Systems

Engineering, University of Southern CaliforniaM. Stein, Department of Statistics, University of

Chicago

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Predictive StatisticsAnalysis and Inference beyond Models

Bertrand S. Clarke Jennifer L. Clarke

Clarke

and

Clarke

Predictive Statistics

“Prediction, one of the most important practical applications of statistical analysis, has rarely been treated as anything more than an afterthought in most formal treatments of statistical inference. This important book aims to counter this neglect by a wholehearted emphasis on prediction as the primary purpose of the analysis. The authors cut a broad swathe through the statistical landscape, conducting thor-ough analyses of numerous traditional, recent, and novel techniques, to show how these are illuminated by taking the predictive perspective.”

– Philip Dawid, University of Cambridge

“The prime focus in statistics has always been on modeling rather than prediction; as a result, different prediction methods have arisen within different subfields of statistics, and a general, all-encompassing account has been lacking. For the first time, this book provides such an account and, as such, it convincingly argues for the primacy of prediction. The authors consider a wide range of topics from a predic-tive point of view and I am impressed by both the breadth and depth of the topics addressed and by the unifying story the authors manage to tell.”

– Peter Grünwald, CWI and Leiden University

This bold treatise outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors to correspond to a model, although this important special case is included. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook. The book also considers prediction via contemporary “black box” techniques and emerging data types and methodol-ogies where conventional modeling is so difficult that good prediction is the main criterion available for evaluating the performance of a statistical method. Well-documented open-source R code in a Github repository allows readers to replicate examples and apply techniques to other investigations.

CAMBRIDGE SERIES IN STATISTICAL AND PROBABILISTIC MATHEMATICS

Editorial Board:Z. Ghahramani, Department of Engineering,

University of CambridgeR. Gill, Mathematical Institute, Leiden UniversityF. P. Kelly, Department of Pure Mathematics and

Mathematical Statistics, University of CambridgeB. D. Ripley, Department of Statistics, University of

OxfordS. Ross, Department of Industrial and Systems

Engineering, University of Southern CaliforniaM. Stein, Department of Statistics, University of

Chicago

The focus of this book is on the two major areas of risk

theory: aggregate claims distributions and ruin theory. For

aggregate claims distributions, detailed descriptions are given

of recursive techniques that can be used in the individual

and collective risk models. For the collective model, the book

discusses different classes of counting distribution, and

presents recursion schemes for probability functions and

moments. For the individual model, the book illustrates the

three most commonly applied techniques. Beyond the classical

topics in ruin theory, this new edition features an expanded

section covering time of ruin problems, Gerber–Shiu functions,

and the application of De Vylder approximations.

Suitable for a first course in insurance risk theory and

extensively classroom tested, the book is accessible to readers

with a solid understanding of basic probability. Numerous

worked examples are included and each chapter concludes

with exercises for which complete solutions are provided.

David Dickson is Professor of Actuarial Studies at the

University of Melbourne. His main research interest is ruin

theory, and he has published many papers in the leading

international actuarial journals. He is a Fellow of the Institute

and Faculty of Actuaries in the UK and the Institute of Actuaries

of Australia, and has twice been awarded the H.M. Jackson

Prize of the Institute of Actuaries of Australia, most recently for

the first edition of this book. He is also a co-author of Actuarial

Mathematics for Life Contingent Risks, the recommended text

for the Society of Actuaries MLC exam.

Modelling M

ortality with Actuarial

Macdonald,

Richards and Currie

International Series on Actuarial Science

Angus S. Macdonald, Stephen J. Richards and Iain D. Currie

Modelling Mortality with Actuarial Applications

Cover designed by Hart McLeod Ltd

Bayes-frequentist controversy • p-values vs posteriors • confirmation vs falsification • probabilism vs performance vs probativeness • Jeffreys-Lindley paradox • behavio-ral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controversy • type I and type II errors • power: pre-data vs post-data • statistical science and philosophy of science • cherry-picking, data dredging, multiple testing • estimation vs testing • objectivity vs subjectivity •

Savage forum • subjective vs non-subjective priors • stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs likelihood ratios • replication para-

-

-ors • confirmation vs falsification • probabilism vs performance vs probativeness • Jeffreys-Lindley paradox • behavioral vs evidential interpretation • popperian falsification

vs carnapian confirmation • problem of induction • significance test controversy • type I and type II errors • power: pre-data vs post-data • statistical science and philos-ophy of science • cherry-picking, data dredging, multiple testing • estimation vs testing • objectivity vs subjectivity • Savage forum • subjective vs non-subjective priors •

stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided • p-values vs error probabilities • model testing vs model selection • calibration: actual vs hy-

pothetical • likelihood principle vs error probabilities • significance tests vs confidence intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evi-dence • significance vs substantive significance • bayes factors vs bayesian posteriors • performance vs probabilism vs probativism • probability: epistemic vs variability •

science vs pseudoscience • causality vs correlation • Fisher-Bayes disagreement • conditional vs unconditional inference • no evidence against vs evidence for • behavioral vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • corroboration vs falsification behavioral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controver-sy • type I and type II errors • power: pre-data vs post-data • statistical science and philosophy of science • cherry-picking, data dredging, multiple testing • estimation vs testing • objectivity vs subjectivity • Savage forum • subjective vs non-subjective priors • stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided •

p-values vs error probabilities • model testing vs model selection • calibration: actual vs hypothetical • likelihood principle vs error probabilitie• significance tests vs confi-dence intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evidence • significance vs substantive significance • bay

ity vs correlation • Fisher-Bayes disagreement • conditional vs unconditional inference • no evidence against vs evidence for • behavioral vs evidential • test bans • predic-tion vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • corroboration vs falsification • p-values exaggerate evidence • Bayes-frequentist controversy • p-values vs posteriors • confirmation vs falsification • probabilism vs performance vs probativeness • Jef-freys-Lindley paradox • behavioral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controversy •

type I and type II errors • power: pre-data vs post-data • statistical science and philosophy of science • cherry-picking, data dredging, multiple testing • estimation vs test-ing • objectivity vs subjectivity • Savage forum • subjective vs non-subjective priors • stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs

likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided • p-val-ues vs error probabilities • model testing vs model selection • calibration: actual vs hypothetical • likelihood principle vs error probabilities • significance tests vs confidence

intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evidence • significance vs substantive signifi

vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • corroboration vs falsification behavioral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controversy • type I and type II errors • power: pre-data vs post-data • statistical science and philosophy of science • cherry-picking, data dredging, multiple testing • estimation vs testing • objectivity vs subjectivity • Savage forum • subjective vs non-subjective priors • stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided •

vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • corroboration vs falsification behavioral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controversy • type I and type II errors • power: pre-data vs post-data • statistical science and philosophy of science • cherry-picking, data dredging, multiple testing • estimation vs testing • objectivity vs subjectivity • Savage forum • subjective vs non-subjective priors • stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided •

vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • How to Get Beyond the Statistics Wars

ors • confirmation vs falsification • probabilism vs performance vs probativeness • Jeffreys-Lindley paradox • behavioral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controversy • type I and type II errors • power: pre-data vs post-data • statistical science and philosophy of science • cherry-picking, data dredging, multiple testing • estimation vs testing • objectivity vs subjectivity • Savage forum • subjective vs non-subjective priors •

stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided • p-values vs error probabilities • model testing vs model selection • calibration: actual vs hy

pothetical • likelihood principle vs error probabilities • significance tests vs confidence intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evidence • significance vs substantive significance • bayes factors vs bayesian posteriors • performance vs probabilism vs probativism • probability: epistemic vs variability •

science vs pseudoscience • causality vs correlation • Fisher-Bayes disagreement • conditional vs unconditional inference • no evidence against vs evidence for • behavioral vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth •

ors • confirmation vs falsification • probabilism vs performance vs probativeness • Jeffreys-Lindley paradox • behavioral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controversy • type I and type II errors • power: pre-data vs post-data • statistical science and philosophy of science • cherry-picking, data dredging, multiple testing • estimation vs testing • objectivity vs subjectivity • Savage forum • subjective vs non-subjective priors •

stopping rules: relevant or irrelevant? • statistical crisis in science • Bayes boost vs likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided • p-values vs error probabilities • model testing vs model selection • calibration: actual vs hy

pothetical • likelihood principle vs error probabilities • significance tests vs confidence intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evidence • significance vs substantive significance • bayes factors vs bayesian posteriors • performance vs probabilism vs probativism • probability: epistemic vs variability •


than observed • preregistration • Duhem’s problem • one-sided vs two-sided • p-values vs error probabilities • model testing vs model selection • calibration: actual vs hypothetical • likelihood principle vs error probabilities • significance tests vs confidence intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evidence • significance vs substantive significance • bayes factors vs bayesian posteriors • performance vs probabilism vs probativism • probability: epistemic vs variability •


than observed • preregistration • Duhem’s problem • one-sided vs two-sided • p-values vs error probabilities • model testing vs model selection • calibration: actual vs hypothetical • likelihood principle vs error probabilities • significance tests vs confidence intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evidence • significance vs substantive significance • bayes factors vs bayesian posteriors • performance vs probabilism vs probativism • probability: epistemic vs variability •

science vs pseudoscience • causality vs correlation • Fisher-Bayes disagreement • conditional vs unconditional inference • no evidence against vs evidence for • behavioral vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • How to Get Beyond science vs pseudoscience • causality vs correlation • Fisher-Bayes disagreement • conditional vs unconditional inference • no evidence against vs evidence for • behavioral How to Get Beyond science vs pseudoscience • causality vs correlation • Fisher-Bayes disagreement • conditional vs unconditional inference • no evidence against vs evidence for • behavioral vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • How to Get Beyond vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth •

STATISTICAL INFERENCE as

SEVERE TESTING

vs likelihood ratios • replication paradox • Fisher vs Neyman • relevance of outcomes other than observed • preregistration • Duhem’s problem • one-sided vs two-sided • p-values vs error probabilities • model testing vs model selection • calibration: actual vs hypothetical • likelihood principle vs error probabilitie• significance tests vs confi

dence intervals • frequentist, fiducial, bayesian unification • Bayes factors exaggerate evidence • significance vs substantive significance • bay ity vs correlation • Fisher-Bayes disagreement • conditional vs unconditional inference • no evidence against vs evidence for • behavioral vs evidential • test bans • prediction vs explanation • bootstrapping • randomized vs observational • false discovery rates vs positive predictive values • adequacy vs truth • corroboration vs falsification • p-values exaggerate evidence • Bayes-frequentist controversy • p-values vs posteriors • confirmation vs falsification • probabilism vs performance vs probativeness • Jeffreys-Lindley paradox • behavioral vs evidential interpretation • popperian falsification vs carnapian confirmation • problem of induction • significance test controversy •





DEBORAH G. MAYO

STRUCTURAL ANALYSIS IN THE SOCIAL SCIENCES

Exploratory Social Network Analysis

with Pajek

46

Revised and expanded edition foR Updated softwaRe

Wouter de Nooy, Andrej Mrvar and Vladimir Batagelj

THIRD EDITION

Mehri

Exploratory Social Netw

ork Analysis

Lectures on the Poisson ProcessLectures on

the Poisson Process

Günter Last and Mathew Penrose

Last and Pen

rose

TextbooksInstitute of Mathematical Statistics Textbooks

Editorial Board:

D. R. Cox (University of Oxford)

B. Hambly (University of Oxford)

S. Holmes (Stanford University)

X.-L. Meng (Harvard University)

The Poisson process, a core object in modern probability, enjoys a richer theory

than is sometimes appreciated. This volume develops the theory in the setting of

a general abstract measure space, establishing basic results and properties as well

as certain advanced topics in the stochastic analysis of the Poisson process. Also

discussed are applications and related topics in stochastic geometry, including

stationary point processes, the Boolean model, the Gilbert graph, stable allocations,

and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is

ideal for graduate courses or for self-study, with a substantial number of exercises for

each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-

theoretic probability, are kept in the background, but are reviewed comprehensively

in the appendix. The authors are well-known researchers in probability theory;

especially stochastic geometry. Their approach is informed both by their research

and by their extensive experience in teaching at undergraduate and graduate levels.

Günter Last is Professor of Stochastics at the Karlsruhe Institute of Technology. He

is a distinguished probabilist with particular expertise in stochastic geometry, point

processes and random measures. He coauthored a research monograph on marked

point processes on the line as well as two textbooks on general mathematics. He has

given many invited talks on his research worldwide.

Mathew Penrose is Professor of Probability at the University of Bath. He is an

internationally leading researcher in stochastic geometry and applied probability

and is the author of the infl uential monograph Random Geometric Graphs.

He received the Friedrich Wilhelm Bessel Research Award from the Humboldt

Foundation in 2008, and has held visiting positions as guest lecturer in New Delhi,

7

Data science has now fi rmly moved from computer science and engineering to the disciplines of the social sciences, where scholars are harnessing the insight-ful power of ever larger and more complex data sets. This volume provides a clear introduction for social scientists and policy researchers into the use of R and Python, including best practice of working with data fi les, command fi les, and outputs. The step-by-step approach with real-world examples will be of great value to students, scholars, and practitioners engaged in data analytic approaches to social problems.” – Todd Landman, Professor of Political Science and Pro Vice Chancellor, Faculty of Social Sciences, University of Nottingham

“The irruption of big data and the need to comply with high standards of research reproducibility require social scientists and policy analysts to be con-versant in data collection and management techniques. Unfortunately, even those with sophisticated methodological training often lack the necessary tools to take on these requirements. Magallanes Reyes’s book at long last collects and organizes a large amount of information and useful advice on how to curate data for scientifi c analysis. Through agile narrative and compelling examples, he walks the reader through the use of open-source tools of data science such as R, Python, and Github. The book is an invaluable resource for students and scholars at different levels of profi ciency, from neophytes to advanced users.” – Guillermo Rosas, Washington University in St. Louis

“This new, practical, reader-friendly how-to manual on computational social data analysis is both long overdue and a must-have for analysts and research-ers. The range of problem-solving strategies and demonstrations is impressive. While eminently practical, Magallanes Reyes’s contribution is also rigorous and true to its scientifi c aims, which will please both basic and applied scientists and practitioners.” – Claudio Cioffi -Revilla, Professor of Computational Social Science and Director, Center for Social Complexity, George Mason University, and founding President, Computational Social Science Society of the Americas

“Magallanes Reyes’s excellent book on data science for researchers and policy analysts is an accessible yet thorough introduction to data management and analyses in R and Python. It has a broad coverage of the techniques required to capture, clean, and process complex information. It is the perfect companion for sophisticated policy analysts and researchers that are ready to take advantage of the wealth of data that is available to skilled computer scientists.” – Ernesto Calvo, University of Maryland

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INTRODUCTION TO

DATA SCIENCE

FOR SOCIAL

AND POLICY

RESEARCH

JOSE MANUEL MAGALLANES REYES

Collecting and Organizing Data with R and Python

Cover image courtesy of © Westhoff / E+ / Getty Images

Cover design by Holly Johnson

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Cover image: Capitol Hill with US flag. Copyright © franckreporter/iStockphoto.com

Cover design by ALICE SOLOWAY

What are the risk of terrorism and what are their consequences and economic impacts? Are we safer from terrorism today than before 9/11? Does the government spend our homeland security funds well? These questions motivated a twelve-year research program of the National Center for Risk and Economic Analysis of Terrorism Events (CREATE) at the University of Southern California, funded by the Department of Homeland Security. This book showcases some of the most important results of this research and offers key insights on how to address the most important security problems of our time.

Written for homeland security researchers and practitioners, this book covers a wide range of methodologies and real-world examples of how to reduce terrorism risks, increase the efficient use of homeland security resources, and thereby make better decisions overall.

ali e. abbas is Professor of Industrial and Systems Engineering and Professor of Public Policy and Management at the University of Southern California. He also serves as the director of the Center for Interdisciplinary Decisions and Ethics (DECIDE). His research interests focus on all aspects of decision making under uncertainty broadly defined. He is author of two books, two edited volumes, and has more than 100 refereed publications. He has organized numerous workshops on decision making in large-scale systems with NASA Langley, the Transportation Security Administration (TSA), the Department of Homeland Security, and the National Science Foundation.

milind tambe is Professor of Computer Science and Professor of Industrial and Systems Engineering at the University of Southern California. He is a founding co-director of the USC Center on Artificial Intelligence in Society. Among his pioneering contributions in Artificial Intelligence is the security games framework that has been deployed by agencies such as the US Coast Guard, Federal Air Marshals Service, and various nongovernmental organizations, for which he has received several commendations. He is a fellow of the Association for Advancement of Artificial Intelligence (AAAI) and Association for Computing Machinery (ACM).

detlof von Winterfeldt is Professor of Industrial and Systems Engineering and Professor of Public Policy and Management at the University of Southern California. His research interests are in the foundation and practice of decision and risk analysis. In 2004, he co-founded the National Center for Risk and Economic Analysis of Terrorism Events (CREATE) and serves as its current director. He is the author of two books, three edited volumes, and more than 100 refereed articles and chapters. He is a fellow of the Institute for Operations Research and the Management Sciences (INFORMS) and of the Society for Risk Analysis.

ImprovIng Homeland SecurIty DecIsIonsedited by Ali e. Abbas, milind Tambe and Detlof von Winterfeldt

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For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.

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About the series:SemStat Elements is the exclusive vehicle for short monographs prepared by the invited lecturers at the Seminaires Européens de Statistiques (SemStat). SemStat is known for high-quality courses of expository lectures on important new developments in statistics delivered at a biennial meeting to an audience of advanced PhD students. Each meeting is organized around a particular theme by the European Regional Committee of the Bernoulli Society, and the Bernoulli Society sponsors the SemStat Elements series.

Graphical Models for Categorical Data

Alberto Roverato

ISSN 2398-404X (online)ISSN 2514-3778 (print)

Series editor:

Ernst Wit

Chair of Statistics and Probability at the University of Groningen

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Random Sets in Econometrics

Ilya Molchanov Francesca Molinari

This snapshot of the current frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design. Primarily for graduate students and researchers in statistics and closely related fields, emphasis is not only on what has been done, but on what remains to be done.

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About the series:SemStat Elements is the exclusive vehicle for short monographs prepared by the invited lecturers at the Seminaires Européens de Statistiques (SemStat). SemStat is known for high-quality courses of expository lectures on important new developments in statistics delivered at a biennial meeting to an audience of advanced PhD students. Each meeting is organized around a particular theme.

Topics at the Frontier of Statistics andNetwork Analysis

Eric D. Kolaczyk

ISSN 2398-404X (online)ISSN 2514-3778 (print)

Series editor:

Ernst Wit

Chair of Statistics and Probability at the University of Groningen

SemStat

(Re)Visiting the Foundations

Top

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Tijms

PROBABILITY: A LIVELY INTRODUCTION

9781108407847: Tijms: Cover: C M

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Henk Tijms

A LIVELY INTRODUCTION

Probability has applications in many areas of modern science, not to mention in our daily life, and its importance as a mathematical discipline cannot be overrated. This engaging book, with its easy to follow writing style, provides a comprehensive, yet concise, introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses, as well as many topics that are usually not found in standard texts – such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.

The student-friendly text has the following additional features:

• Is the result of many years of teaching and feedback from students• Stresses why probability is so relevant and how to apply it• Offers many real-world examples to support the theory• Includes more than 750 problems with detailed solutions of the

odd-numbered problems• Gives students confidence in their own problem-solving skills

Henk Tijms is Professor Emeritus at the Vrije University in Amsterdam. He is the author of several textbooks and numerous papers on applied probability and stochastic optimization. In 2008 Henk Tijms received the prestigious INFORMS Expository Writing Award for his publications and books. His activities also include the popularization of probability for high-school students and the general public.

Cover image: EyesWideOpen/Getty ImagesCover design: Andrew Ward

Online Resourceswww.cambridge.org/TijmsProbability

Solutions manual with answers to odd and even-numbered problems for instructorsPowerpoint slides of figures

Research Methods and Statistics

Bernard C. Beins ••• Maureen A. McCarthy


High-Dimensional ProbabilityAn Introduction with Applications in Data Science

Roman Vershynin

Cover credit: Terrace chairs © Bryce Richter / University of Wisconsin-MadisonCover designed by Zoe Naylor.

9781108415859 An

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INTRODUCTION TO PROBABILITY

David F. Anderson | Timo Seppäläinen | Benedek Valkó

MATHEMATICAL TEXTBOOKSCAMBRIDGE

INTRODUCTION TO PROBABILITYANDERSON, SEPPÄLÄINEN AND VALKÓ

This classroom-tested textbook is an introduction to probability theory with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specifi c problems, but also why the methods of solution work.

FEATURES• Presented in full color and written in an accessible

way, the text provides a comprehensive and well-balanced introduction to probability.

• Pedagogical features include numerous examples to illustrate concepts and theory, over 600 exercises of varying levels, and separate Finer Points sections for technical details.

“The authors have carefully chosen a set of core topics, resisting the temptation to overload the reader. They tie it all together with a coherent philosophy. Knowing the authors’ work, I would expect nothing less. I predict that this text will become the standard for beginning probability courses.”– Carl Mueller, University of Rochester

“This is an excellent book written by three active researchers in probability that combines both solid mathematics and the distinctive style of thinking needed for modeling random systems. It also has a great collection of problems. I expect it to become a standard textbook for undergraduate probability courses at least in the US.”– Gregory F. Lawler, University of Chicago

David F. Anderson is a Professor of Mathematics at the University of Wisconsin-Madison.

Timo Seppäläinen is the John and Abigail Van Vleck Chair of Mathematics at the University of Wisconsin-Madison.

Benedek Valkó is a Professor of Mathematics at the University of Wisconsin-Madison.

Instructor’s Manual with solutions to selected problems

asv

www.cambridge.org/JSM2018

37961.indd 1 23/04/2018 14:33

http://www.cambridge.org/TijmsProbability

http://www.cambridge.org/JSM2018

The JSM Quick Guide, introduced in 2017, is back! As JSM has grown and attendees have increasingly turned to their smart phones and tablets for information, we realized a new JSM Quick Guide would help you more quickly find the general information you’re looking for, such as floor plans, featured events, and the overall JSM schedule. The complete program can be found in the online program and JSM app, where you can build a custom schedule and find up-to-date details for JSM’s more than 600 sessions. By developing each medium with its strengths and weaknesses in mind, we aim to offer attendees a more useful print and online program.

* Ticketed event (additional fees apply)

INSIDE THE JSM APPTake a closer look at the JSM app on Page 5.

JSM2018SMMMMMMMMM22MM22MMMMMMMM2MMMMM200

APP SPONSOR

JSM QUICK GUIDEJS

M S

CHED

ULE

AT

A G

LAN

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SATURDAYJuly 28, 2018 Registration 7:30 a.m. – 6:00 p.m.

Professional Development *8:00 a.m. – 6:30 p.m.

Career Service* 9:00 a.m. – 5:00 p.m.Pre-registered attendee badge pick-up and onsite registration only

SUNDAYJuly 29, 2018 Registration 7:30 a.m. – 8:30 p.m.

Professional Development* 8:00 a.m. – 5:00 p.m.

First-Time Attendee Orientation and Reception12:30 p.m. – 2:00 p.m.

EXPO 2018 1:00 p.m. – 6:00 p.m. 8:30 p.m. – 10:30 p.m.

Career Service* 1:00 p.m. – 6:00 p.m.

Technical (Paper and Panel) Sessions2:00 p.m. – 5:50 p.m.

ASA Awards Celebration and Editor Appreciation 7:30 p.m. – 8:30 p.m.

JSM Opening Mixer and Invited Poster Session 8:30 p.m. – 10:30 p.m.

MONDAYJuly 30, 2018 A.M. Roundtable Discussions* 7:00 a.m. – 8:15 a.m.

Registration 7:30 a.m. – 6:00 p.m.

Professional Development *8:00 a.m. – 5:00 p.m.

Career Service*8:00 a.m. – 5:30 p.m.

Technical (Paper, Panel, and Poster) Sessions 8:30 a.m. – 3:50 p.m.

EXPO 2018 9:00 a.m. – 5:30 p.m.

P.M. Roundtable Discussions* 12:30 p.m. – 1:50 p.m.

President’s Invited Speaker 4:00 p.m. – 5:50 p.m.

TUESDAYJuly 31, 2018 A.M. Roundtable Discussions* 7:00 a.m. – 8:15 a.m.



Career Service*8:00 a.m. – 5:30 p.m.


EXPO 2018 9:00 a.m. – 5:30 p.m.

P.M. Roundtable Discussions*12:30 p.m. – 1:50 p.m.

Deming Lecture 4:00 p.m. – 5:50 p.m.

ASA President’s Address and Founders & Fellows Recognition 8:00 p.m. – 9:30 p.m.

JSM Dance Party9:30 p.m. – 12:00 a.m.

WEDNESDAYAugust 1, 2018 A.M. Roundtable Discussions* 7:00 a.m. – 8:15 a.m.


Career Service* 8:00 a.m. – 2:30 p.m.



EXPO 2018 9:00 a.m. – 2:30 p.m.

P.M. Roundtable Discussions* 12:30 p.m. – 1:50 p.m.

COPSS Awards and Fisher Lecture 4:00 p.m. – 5:50 p.m.

THURSDAYAugust 2, 2018 Registration7:30 a.m. – 10:30 a.m.

Technical (Paper and Panel) Sessions 8:30 a.m. – 12:20 p.m.

2018 SPONSORS

PLATINUM

GOLD

SILVER

VANCOUVER, BRITISH COLUMBIA, CANADA 5

!!!JSM APP

Download the official JSM 2018 app (sponsored by IBM) to see last-minute updates, create your own schedule, play the

JSM Challenge for prizes, and more. Available on Google Play and the App Store; free.

002 -The Deep Learning-

Revolution

003 -Remembering Stephen E. Fienberg

ility004 -Transparency, Reproduciband Replicability in Work withSocial and Economic Data

2:00 PM

ALL

Looking for the complete JSM program schedule

and abstracts? Just click the Program

icon in the JSM app! Scroll through all JSM

sessions, the Professional Development program,

business and committee meetings, and JSM hours

and events by day.

Trying to find something specific? Search for a speaker and find an abstract via keyword or session title. You can even filter your search for specific sponsors or session type!

Want to read a speaker’s abstract before attending a certain session? Tap on the session title and you will see all the speaker abstracts for the session, including their start times.

Need to know when speed sessions

are taking place? Simply select

“Contributed Speed” from the filter

options—and voila! Not sure where a room is located? Just hit the “Map It” icon and the app will show you.And don’t forget to leave

feedback about the presentations you see.

Just click the “thumbs-up” icon above the abstract text.

AVAILABLE ON GOOGLE PLAY AND THE APP STORE.FREE

https://play.google.com/store?hl=en

https://www.apple.com/ios/app-store/

https://play.google.com/store?hl=en

https://www.apple.com/ios/app-store/

6 JSM2018

!!!JSM CHALLENGETake the JSM Challenge via the JSM 2018 app! Earn points for each question and task you complete to win prizes at the end of the week. The JSM Challenge runs Saturday through Wednesday, with new questions each day. You’ll be working together for a special prize that will light up this year’s Dance Party. What are you waiting for? Get glowing! (Don’t worry—if you’re the competitive type, our four top-scoring participants will also receive individual prizes.)

Don’t miss out on the

opportunity to have fun and

win great prizes! Download the JSM app from

Google Play or the App

Store. For all other devices, a web version is available at

ww2.amstat.org/meetings/

jsm/2018/jsmapp.

Fairmont Waterfront (HQ) (604) 691-1991

Days Inn Vancouver (604) 681-4335

Delta Vancouver Suites (604) 689-8188

Fairmont Vancouver (604) 684-3131

Four Seasons Hotel Vancouver

(604) 689-9333

Hampton Inn & Suites (604) 602-1008

Hyatt Regency Vancouver (604) 683-1234

JW Marriott Parq Vancouver (604) 676-0888

Pan Pacific Hotel Vancouver (604) 662-8111

Pinnacle Hotel Harbourfront (604) 689-9211

Sheraton Wall Centre (604) 331-1000

Sheraton Vancouver Airport (604) 273-7878

The Douglas, Autograph Collection Vancouver

(604) 676-0889

Vancouver Marriott Pinnacle Downtown

(604) 684-1128

Westin Bayshore Vancouver (604) 682-3377

WIFISPONSORED BY

AbbVie

Network: JSM2018

Password: abbvie2018

SOCIAL MEDIA

Join the Joint Statistical Meetings conversation by using #JSM2018 on social media. Also follow the official ASA social media accounts for news, pictures, and last-minute updates.

• www.facebook.com/AmstatNews

• www.twitter.com/AmstatNews

• www.instagram.com/AmstatNews

• community.amstat.org

CONVENTION HOUSING

http://www.facebook.com/AmstatNews

http://www.twitter.com/Amstatnews

http://www.instagram.com/amstatnews

ww2.amstat.org/meetings/jsm/2018/jsmapp

http://community.amstat.org/home

https://twitter.com/hashtag/jsm2018?src=hash


!!!

Emergency Telephone MessagesIn case of emergency, messages may be left during registration hours by calling (778) 331-7615. We will attempt to contact the registrant using the contact information provided in their registration.

Assistance for Those with DisabilitiesPlease contact a staff member at the Help Desk in the registration area if you have a disability that may impede your participation.

Child CareKiddie Corp is the official child care provider for JSM 2018. Arrangements should have been made in advance. Please contact Kiddie Corp at (858) 455-1718 or [email protected] for any questions or possible availability.

PoliciesElectronic DevicesAll cell phones, pagers, and other electronic devices should be silenced before attending any session or meeting.

SmokingSmoking is not permitted at any JSM function, unless the event is held outside.

RecyclingPlease use the paper, plastic, and aluminum trash containers located throughout the convention center. Also, participating in the towel and linen programs at area hotels makes a significant difference in the amount of energy and water used. Finally, place JSM badges and badge holders in one of the designated bins when leaving.

JSM ProceedingsEligibility guidelines and author instructions for

JSM 2018 presenters are available at ww2.amstat.org/meetings/jsm/2018/submissions.cfm. The submission site will open August 28, 2018, and close September 29, 2018 (11:59 p.m. EDT).

Meetings Conduct Policy*As a professional society, the American Statistical Association (ASA) is committed to providing an atmosphere that encourages the free expression and exchange of ideas. Consistent with this commitment, it is the policy of the ASA that all participants in ASA activities will enjoy a welcoming environment free from unlawful discrimination, harassment, and retaliation. All participants in ASA activities also agree to comply with all rules and conditions of the activities, which are subject to change without notice.

DOCENT PROGRAMQuestions? New to JSM? Find a JSM docent to help you learn the ropes. JSM docents are experienced JSM attendees wearing an orange button (pictured) who can help you make the most of your experience.

*Please read thecomplete ConductPolicy at www.amstat.org/meetings/jsm/2018/conductpolicy.cfm.

2018

JSM PROCEEDING

SS

ASA • EN

AR • W

NAR • IMS • SSC • ICSA • IISA • KISS •

ISBA

• RS

S •

ISI

www.amstat.org/meetings/jsm/2018/conductpolicy.cfm

ww2.amstat.org/meetings/jsm/2018/submissions.cfm

8 JSM2018

!!!HOURS OF OPERATIONRegistration and ASA Membership/ Help Desk/Press DeskCC-West Ballroom FoyerJSM registration includes the JSM Quick Guide; access to the exhibit hall; and admission to the Opening Mixer, Student Mixer (students only), and JSM Dance Party.

Saturday 7:30 a.m. – 6:00 p.m.

Sunday 7:30 a.m. – 8:30 p.m.

Monday – Tuesday 7:30 a.m. – 6:00 p.m.

Wednesday 7:30 a.m. – 4:30 p.m.

Thursday 7:30 a.m. – 10:30 a.m.

Speaker Management Room Sponsored by AbbVieCC-West 103/104Speakers are required to check in four hours prior to their presentations to upload their materials to the speaker management system or confirm their materials were uploaded correctly. Session chairs also should check in to confirm all speakers have uploaded their materials.

Sunday 9:00 a.m. – 7:00 p.m.

Monday – Wednesday 7:00 a.m. – 6:00 p.m.

Thursday 7:00 a.m. – 10:30 a.m.

Career ServiceCC-West Hall A

Saturday

9:00 a.m. – 5:00 p.m. (Pre-registered attendee badge pick-up and onsite registration only)

Sunday 1:00 p.m. – 6:00 p.m.


Wednesday 8:00 a.m. – 2:30 p.m. (onsite registration closes at noon)

JSM Luggage Storage CC-West Ballroom Foyer


Thursday 8:00 a.m. – 1:00 p.m.

EXPO 2018CC-West Hall BVisit publishers, software companies, and recruiters. See state-of-the-art products designed for the statistical community. Make sure to check out the coffee, refreshment, and lunch options available each day, as well.

Sunday 1:00 p.m. – 6:00 p.m., 8:30 p.m. – 10:30 p.m.



Cyber CenterCC-West Ballroom FoyerSend email, print boarding passes, and check the JSM online program using available computers and printers.

Saturday 7:30 a.m. – 6:00 p.m.

Sunday 7:30 a.m. – 8:30 p.m.



Thursday 7:30 a.m. – 10:30 a.m.

ASA Store (inside EXPO 2018)CC-West Hall B, Booth #401The ASA Store is the place for your official JSM 2018 T-shirt and other JSM and ASA souvenirs.

Sunday 1:00 p.m. – 6:00 p.m., 8:30 p.m. – 10:30 p.m.



Vancouver Restaurant & Tourism Information Center CC-West Ballroom Foyer Operated by Tourism Vancouver, this center provides extensive information about and referrals for restaurants and sightseeing. Stop by the desk and pick up maps and travel information.

Saturday – Wednesday 10:00 a.m. – 5:00 p.m.


!!!

SPECIAL EVENTS

JSM First-Time Attendee Orientation and ReceptionSunday, July 29, 12:30 p.m. – 2:00 p.m.CC-West Ballroom DJoin fellow first-timers at this orientation reception and learn how to become involved in JSM. Hear about the benefits of membership and get tips about the conference.

JSM Opening Mixer & Invited Poster Session, sponsored by Eli Lilly & CompanySunday, July 29, 8:30 p.m. – 10:30 p.m.CC-West Hall BAll conference attendees are encouraged to come together for the kick-off social event of JSM.

ASA Awards Celebration and Editor AppreciationSunday, July 29, 7:30 p.m. – 8:30 p.m.CC-West 211The Sunday night awards ceremony recognizes retiring editors and honorees of annual ASA awards, section awards, and scholarships.

JSM Student MixerMonday, July 30, 6:00 p.m. – 8:00 p.m.CC-West Ballroom DThe Student Mixer provides an opportunity for students to join their contemporaries for a fun-filled time.

ASA Longtime Member Reception (by invitation only), Sponsored by WestatMonday, July 30, 6:30 p.m. – 7:30 p.m.CC-West 201This annual reception is held to honor ASA members who have shown dedication to the association for 35 or more years.

JSM Dance PartyTuesday, July 31, 9:30 p.m. – 12:00 a.m.CC-West Ballroom DA fun highlight of JSM, the dance party is held right after the ASA President’s Address and Founders & Fellows Recognition. There are snacks, a cash bar, and music!

FIRST TIMER

The JSM Opening Mixer is in the EXPO! Sunday from 8:30 p.m.–10:30 p.m. Some exhibitors will have refreshments. Look for more information inside the EXPO.

10 JSM2018

Sunday, July 291:00 p.m.Spotlight Vancouver Kick-OffSwing by and kick off JSM with samples of area specialties like wild salmon sliders, porcini mushroom tarts, and BBQ duck spring rolls. Enjoy while they last!

Join us for featured events throughout the week that give you a little taste of the city. Check out the schedule and stop by Spotlight to see more!

VANCOUVERInterested in giving back

while in Vancouver? Connect with other JSM attendees while making blankets (no sewing involved) to be donated to those in need. Just drop by Spotlight Monday through Wednesday between 11:30 a.m. and 1:00 p.m. to participate.

!!!

VANCOUVER

SPOTLIGHT

3:30 p.m. Tasty Vancouver Fruit TartelettesNo time to venture to Granville Island? No matter. Enjoy fresh samples of fruit tartelettes made from local fruit and berries (while supplies last) and mingle with other attendees.

8:30 p.m. Opening Mixer Popcorn, Sponsored by NetflixEnjoy a pick-me-up with a traditional

popcorn break.


Monday, July 309:00 a.m. Vancouver Insider TipsWhether you seek tips for activities and food nearby or the variety of options surrounding lovely Vancouver and whether you have been to Vancouver before or need a rundown for your first time in the city, Tourism Vancouver is here to guide you.

3:30 p.m. Vancouver Microbrew Tasting, Sponsored by RTI InternationalStop by to taste a variety of Vancouver microbrews (while supplies last).

Tuesday, July 3110:00 a.m.Get Your JSM Energy Fix

Come power up with fresh fruit and yogurt smoothie samples (strawberry, mango, or blueberry) and energy bars.

1:30 p.m. Popcorn Break,

Sponsored by NetflixEnjoy an afternoon

pick-me-up with a traditional popcorn break.

3:30 p.m. Experience B.C. WinesDon’t miss this chance to taste local wines. Sample a variety of red and white wines from B.C.’s famous Okanagan Valley (while supplies last).

Wednesday, August 310:00 a.m. JSM Coffee HouseRefresh with a cup of coffee or tea from Vancouver’s local organic, fair-trade coffee maker, Moja Coffee. Enjoy the featured house blend, Rainforest Alliance Sumatra, or choose from a variety

of imported teas.

10:00 a.m. JSM Coffee HouseRefresh with a cup of coffee or tea from Vancouver’s local organic, fair-trade coffee maker, Moja Coffee. Enjoy the featured house blend, Rainforest Alliance Sumatra, or choose from a variety of imported teas.

11:00 a.m. – 3:00 p.m. JSM Photo Booth, Sponsored by Cytel, Inc.Stop by to create memories with your friends using fun props.

1:30 p.m. Popcorn Break, Sponsored by XLSTATEnjoy an afternoon pick-me-up with a traditional popcorn break.

Explore the art in data art with the JSM exhibit featuring data artists located on the EXPO floor!

DATA ART

12 JSM2018

FEATURED SPEAKERS

IMS Medallion Lecture I2:00 p.m.CC-West 109Statistical Inference for Complex Extreme EventsAnthony Davison, Ecole Polytechnique Fédérale de Lausanne

SUNDAY

TUESDAY

ASA President’s Invited Address4:00 p.m.CC-West Ballroom BCLaura Evans, The New York Times

MONDAY

JSM Public Lecture7:00 p.m.CC-West Ballroom ABorn on Friday the Thirteenth: The Curious World of ProbabilitiesJeffrey Rosenthal, University of Toronto

ASA Deming Lecture4:00 p.m.CC-West Ballroom BCImproving the Quality and Value of Statistical Information: 14 Questions on ManagementJohn L. Eltinge, US Census Bureau

ASA President’s Address and Founders & Fellows Recognition8:00 p.m. CC-West Ballroom BCChoose to LeadLisa LaVange, The University of North Carolina


Sunday, July 29, 2:00 p.m.CC-West Ballroom ASession 2 – The Deep Learning Revolution

Sunday, July 29 4:00 p.m.CC-West 301Session 42 – Examining What and How We Teach at All Levels: Key Ideas to Ensure the Progress and Relevance of Statistics

Monday, July 30 8:30 a.m.CC-West Ballroom ASession 95 – Leading Data Science: Talent, Strategy, and Impact

Monday, July 30 10:30 a.m.CC-West Ballroom ASession 137 – Multivariate Data Modeling with Copulas

Tuesday, July 31 8:30 a.m.CC-West Ballroom ASession 271 – Reproducibility, Efficient Workflows, and Rich Environments

Wednesday, August 1, 8:30 a.m.CC-West Ballroom ASession 448 – The Statistical and Data Revolution in the Social Sciences

INTRODUCTORY OVERVIEW LECTURES

LATE-BREAKING SESSIONSMonday, July 30, 2:00 p.m.CC-West Ballroom ASession 211 – Addressing Sexual Misconduct in the Statistics Community

Tuesday, July 31, 10:30 a.m.CC-West Ballroom ASession 316 – Statistical Issues in Application of Machine Learning to High-Stakes Decisions

IMS Medallion Lecture II2:00 p.m.CC-West Ballroom AStatistical Analysis of Large TensorsMing Yuan, Columbia University

COPSS Awards & Fisher Lecture4:00 p.m.CC-West Ballroom BCThe Future: Stratified Micro-Randomized Trials with Applications in Mobile HealthSusan Murphy, Harvard University

WEDNESDAY

14 JSM2018

RESTROOMS

CONCESSIONS

DATAART

SHOW

VANCOUVER

SPOTLIGHT

527

525

530

528

526

531

529

505

503

501

504

502

500

405

403

508

506

409

407

401

404

402

400

305

303

408

406

309

307

301

304

302

300

205

203

308

306

209

207

201

509

507

204

202

200

208

206

226

224

230

228

238

236

240

524

431

429

427

425

539

537

540

538

541

536

441

439

437

330

328

326

324

231

229

227

225

340

338

336

241

239

237

440

438

436

341

339

337

CHARGING STATIONS

EXH

IBIT

OR

CHEC

K IN

ePOSTERS

ESCALATORS TO MAIN LEVEL

POSTERS

EXHIBITOR LOUNGE

West Exhibition LevelHall B

ENTRANCE


Exhibitor Name Booth Number

Advanced Clinical 441

American Statistical Association 400, 402

Aptech Systems, Inc. 330

ASA Store 401,403,405

Barrington James 509

Berry Consultants 324

Bureau of Economic Analysis 506

Cambridge University Press 202, 204

Cengage 239

CITI Program, a division of BRANY 507

Clindata Insight 427

Covance / Chiltern 228

CRC Press/Taylor & Francis Group 337,436,438

Cytel 524, 425

Exploristics Ltd 541

FDA 237

FDA 336

Frontline Systems Inc. 230

H2O.ai 236

IBM 530

Institute of Mathematical Statistics (IMS) 407

JMP a software from SAS 300,302,304

JSM 2019: Denver, CO 404

Jump Trading 537

Lyft 539

Maplesoft 526

Minitab 500,502,504

National Center for Education Statistics (NCES) 227

National Center for Health Statistics 241

National Science Foundation 326

National Security Agency 529, 531

NCSS 200

Netflix 525

NISS 341

nQuery 328

Oxford University Press 505

Pearson 231

Penfield Search Partners, LLC 226

Penn State University World Campus 206

PRA Health Sciences 440

Predictive Analytics Group 527

Responsive Survey Design: A Research Education Pro 408

RStudio Inc. 536

SAGE Publishing 508

Sandia National Labs 538

SAS EDU Practice 207, 209

SAS PUBS 306, 308

SAS R&D 201, 203, 205

SIAM 406

Springer 307, 309

StataCorp LLC 301,303,305

Statgraphics Technologies, Inc. 501

STAT-HAWKERS 224

Statistical Society of Canada (SSC) 409

Takeda Pharmacetical Co. 208

The Lotus Group, LLC 437

TWO SIGMA 503

University of Kansas Dept. of Biostat 338

Wiley 429, 431

Xiaoju Science and Technology Limited 229

XLSTAT 225

Zillow Group 528

Exhibitor Name Booth Number

The JSM Opening Mixer is in the Expo! Sunday from 8:30 p.m. – 10:30 p.m. Some exhibitors will have refreshments. Look for more information inside the EXPO.

16 JSM2018

ESCALATOR

STAIRS

ELEVATOR

RESTROOMS

KEY

NORTH ▲

SEAWALLPATHWAY

SPEAKERMANAGEMENT

ROOM

ROUNDTABLES FIRST-TIME ATTENDEE ORIENTATION AND RECEPTIONDANCE PARTY

JSM CHILD CARE

JSM REGISTRATION

VANCOUVER RESTAURANTS &

TOURISM DESK

CYBER CENTER

BALLROOM D

BALLROOM BC

BALLROOM BC

BALLROOM A

BURRARDSTREETENTRANCE

TWITTER WALL

THURLOW STREETENTRANCE

101 102 103/104

114 115

122 121

120 119

118

116 117

105/106

113 112 111

107 108

110

109

TO/FROM LOBBY & HARBOUR CONCOURSECONNECTOR TO EAST BUILDING

TO/FROM LEVEL 2

TO/FROM LEVEL 2

TO/FROMEXPO (Hall B) AND CAREER SERVICE (Hall A)

TO/FROMEXPO (Hall B) ANDCAREER SERVICE (Hall A)

TO/FROMLEVEL 2

TO/FROMENTRANCE

• Roundtables• Fellows Reception• Dance Party

• Plenary Sessions• Speaker Management• Cyber Center

• First-Time Attendee Orientation and Reception• Access to Exhibit Hall and Level 2

CONVENTION CENTRE • WEST LEVEL 1CC-West

NURSING ROOMS

AND FIRST AID


ESCALATOR

STAIRS

ELEVATOR

RESTROOMS

KEY

NORTH ▲

CO

MM

ITTE

E TA

BLES

SPEAKERLUNCHEONS

TERRACELIVING ROOF

224 223

222 221

220

215/216

214

202 203 204 205 206 207209

208

213 212

211

210201

217 218 219

BEEHIVES

STAIRSTO LEVEL 1

TO/FROM LEVEL 3

TO/FROM LEVEL 1

• Business and Committee Meetings

• Committee Tables

• Speaker Luncheons

• Access to Level 1

• Access to Level 3 (Living Roof)

CONVENTION CENTRE • WEST LEVEL 2CC-West

18 JSM2018

LIVING ROOF

CONVENTION CENTRE • WEST LEVEL 3CC-West• Business and Committee Meetings• Access to/from Level 2

301

306305/304 303 302


ESCALATOR

STAIRS

ELEVATOR

RESTROOMS

KEY

PARK VIEWTERRACE

SOUTHFOYER

TO/FROM LEVEL 2 & LOBBY

TO/FROMDELEGATE CONCOURSE

TO PAN PACIFIC HOTEL

STAIRS TO GROUND LEVEL

STAIRS TO GROUND LEVEL

2

3

4 5

7 8 9

1516

20

19 18

17

10

11

12

13

14

6

1

• Professional Development• Technical Sessions

• Business and Committee Meetings

• Access to Ground Level, Pan Pacific Hotel

TO/FROMWEST BUILDING CONNECTORUNDERGROUND

CONNECTOR TO/FROM WEST BUILDING

UNDERGROUND CONNECTOR TO

FOOD COURT & HOTELTO/FROMFOOD COURT & HOTEL

TO/FROM MEETING LEVEL & HOTEL

TO/FROM MEETING LEVEL

CONVENTION CENTRE LOBBY

CONVENTION CENTRE • EAST GROUND LEVELCC-East

CONVENTION CENTRE • EAST LEVEL 1CC-East

20 JSM2018

CANADA PLACEWAY ENTRANCE

MAIN ENTRANCE

MALASPINA FOYER

MACKENZIE

FOYER

MACKENZIE

I

MACKENZIE

II

NOOTKA

DOUGLASBOARDROOM

MALASPINA

CHEAKAMUS

CONCOURSE LEVEL

TO SKYTRAIN, SEABUS, CONVENTION CENTRE, AND MALL

TO/FROM LOBBY LEVEL

PLAZA ENTRANCE

HOWE STREETENTRANCE

FAIRMONT WATERFRONT

WATERFRONT FOYER

LOBBY

WATERFRONT BALLROOM

C

B A

SECH

ELT

LOBBY LEVEL

ESCALATOR

STAIRS

ELEVATOR

RESTROOMS

KEY

PARK

ING

ELE

VATO

R

FRO

NT

DES

K


FAIRMONT WATERFRONT TERRACE LEVEL

TERRACE ROOM

HEALTH CLUB

ESCALATOR

STAIRS

ELEVATOR

RESTROOMS

KEY

RESTAURANT AND LOUNGE

PRINCESSLOUISA

SUITEBURRARD

SUITE

SEYM

OUR

SECOND LEVEL

22 JSM2018

Jane Doe@

Would you like to explore career opportunities with top statistical employers? The 2018 Career Service, located in Hall A of the Vancouver Convention Centre, will give you the opportunity to research job postings and contact employers. Access is for registered applicants and employers only and interviews are by appointment.

To register, visit the main JSM registration area and ask to add the Career Service to your registration.

• East China Normal University• Exponent• Ford Motor Company• Jump Trading• Lawrence Livermore

National Laboratory• Mayo Clinic

• National Security Agency• School of Statistics,

Southwestern University of Finance and Economics

• Two Sigma Vertex Pharmaceuticals

• Westat

Executive Suite Employers

Additional Employers

CAREER SERVICE EMPLOYERS

For a current list of employers, see www.amstat.org/careerservice.

CAREER SERVICE

Candidate FeesASA Student Member $85

Student Nonmember $130

ASA Member $155

Nonmember $250

http://www.amstat.org/careerservice


PROFESSIONAL DEVELOPMENTAll Professional Development (PD) courses are at the Vancouver Convention Centre East Building. An additional fee is charged for PD offerings. To add a course, go to the main registration desk in the Vancouver Convention Centre West Building.

COURSE TIME ROOM INSTRUCTOR(S) TITLE

CE_01C(Two-day course)

8:30 a.m. – 5:00 p.m.

East Meeting Room 1 Garrett Grolemund Master the Tidyverse: An Introduction to R

for Data Science

CE_02C 8:00 a.m. – 12:00 p.m.

East Meeting Room 11 Mine Çetinkaya-Rundel Shiny Essentials

CE_03C 8:30 a.m. – 5:00 p.m.

East Meeting Room 8

Gang Li/Robert Elashoff/Ning Li

Joint Modeling of Longitudinal and Time-to-Event Data

CE_04C 8:30 a.m. – 5:00 p.m.

East Meeting Room 12 Jim Albert Bayesian Thinking: Fundamentals,

Computation, and Multilevel Modeling

CE_05C 8:30 a.m. – 5:00 p.m.

East Meeting Room 13 Wei Pan/Haiyan Bai Propensity Score Methods: Concepts

and Applications

CE_06C 8:30 a.m. – 5:00 p.m.

East Meeting Room 2/3 Charlotte Wickham Advanced R

CE_07C 1:00 p.m. – 5:00 p.m.

East Meeting Room 11 Lawrence Moulton Introduction to the Design of Cluster

Randomized Trials

CE_01C(Two-day course)

8:30 a.m. – 5:00 p.m.

East Meeting Room 1 Garrett Grolemund Master the Tidyverse: An Introduction to R

for Data Science

CE_08C 8:00 a.m. – 12:00 p.m.

East Meeting Room 13

Curtis Huttenhower/Hongzhe Li

Statistical and Computational Methods and Software for Microbiome and Metagenomics and Applications

CE_09C 8:30 a.m. – 5:00 p.m.

East Meeting Room 8 Frank Harrell Regression Modeling Strategies

CE_10C 8:30 a.m. – 5:00 p.m.

East Meeting Room 12 Wei-Yin Loh Art and Practice of Regression Trees and

Forests

CE_11C 8:30 a.m. – 5:00 p.m.


Peter Müller/Byron Jones/Frank Bretz

Practical Considerations for Bayesian and Frequentist Adaptive Clinical Trials

CE_12C 8:30 a.m. – 5:00 p.m.

East Meeting Room 2/3 E. James Harner Data Science Workflows Using R and Spark

CE_13C 1:00 p.m. – 5:00 p.m.

East Meeting Room 13 Dennis Lin

Topics in Design of Computer Experiment: Recent Advances in Latin Hypercube and Uniform Designs

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PROFESSIONAL DEVELOPMENTCOURSE TIME ROOM INSTRUCTOR(S) TITLE

CE_14C 8:00 a.m. – 12:00 p.m.


James Wagner Adaptive Survey Design

CE_15C 8:00 a.m. – 12:00 p.m.

East Meeting Room 2/3

Ludovic Trinquart/Michael LaValley

Meta-Analysis for Biopharmaceutical and Public Health Research Using SAS

CE_16C 8:30 a.m. – 5:00 p.m.

East Meeting Room 1

Jason Roy/Michael Daniels

Introduction to Bayesian Nonparametric Methods for Causal Inference

CE_17C 8:30 a.m. – 5:00 p.m.


David Banks/Margaret Johnson

Nonparametric Regression and Classification for Modern Data Scientists

CE_18C 8:30 a.m. – 5:00 p.m.


Kenneth Lange/Hua Zhou/Janet Sinsheimer/Eric Sobel

Julia Meets Mendel: Algorithms and Software for Modern Genomic Data Analysis

CE_19C 8:30 a.m. – 5:00 p.m.

East Meeting Room 8

Pankaj Choudhary/Haikady Nagaraja

Analysis of Continuous and Categorical Method Comparison Data

CE_20C 1:00 p.m. – 5:00 p.m.


Daniel Heitjan/Gui-Shuang Ying Prediction in Event-Based Clinical Trials

CE_21C 1:00 p.m. – 5:00 p.m.


Christina Kendziorski/Rhonda Bacher/Mingyao Li/Nancy Zhang

Statistical Methods for Single-Cell RNA-Seq Analysis

CE_22C 8:00 a.m. – 12:00 p.m.

East Meeting Room 11 Fang Chen Practical Hierarchical Bayesian Modeling

CE_23C 8:00 a.m. – 12:00 p.m.

East Meeting Room 13 Evan Carey Health Care Analytics in the Presence of ‘Big

Data’

CE_24C 8:30 a.m. – 5:00 p.m.

East Meeting Room 8 Noah Simon Statistical Machine Learning for Biomedical

Data

CE_25C 8:30 a.m. – 5:00 p.m.


Devan Mehrotra/Alex Dmitrienko/Jeff Maca

Analysis of Clinical Trials: Theory and Applications

CE_26C 8:30 a.m. – 5:00 p.m.


Tze Leung Lai/Hao Zou/Ying Lu

Deep Learning, Prediction, and Validation: Innovations in Statistical Modeling and Applications to Medical/Health Big Data

CE_27C 8:30 a.m. – 5:00 p.m.

East Meeting Room 1

Alan Agresti/Maria Kateri Categorical Data Analysis

CE_28C 1:00 p.m. – 5:00 p.m.

East Meeting Room 11 Rafael Irizarry Data Science for Statisticians

CE_29C 1:00 p.m. – 5:00 p.m.


Rebecca Andridge/Katherine Jenny Thompson

Applications of Hot Deck Imputation Methods to Survey Data

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PROFESSIONAL DEVELOPMENTCOMPUTER TECHNOLOGY WORKSHOPSAll Computer Technology Workshops are at the Vancouver Convention Centre East Building.

COURSE TIME ROOM INSTRUCTOR(S) TITLE

CE_30T 8:00 a.m. – 9:45 a.m.


Pushpal Mukhopadhyay

Survey Data Imputation and Analysis Using SAS®

CE_31T 8:00 a.m. – 9:45 a.m.


Ruth Hummel/Clay Barker

A Thorough Course on Time-to-Event / Survival Analysis: From Descriptive Measures to Complex Modeling

CE_32T 8:00 a.m. – 9:45 a.m.


Cheryl Pammer/Mikhail Golovnya/Charles Harrison

Empower Your Team and Yourself: Fast-Track to Statistical and Data Science Success Using Minitab’s Predictive Modeling Capabilities

CE_33T 10:00 a.m. – 11:45 a.m.


Changbin Guo Advanced Methods for Survival Analysis Using SAS®

CE_34T 10:00 a.m. – 11:45 a.m.


Ronan FitzpatrickFormalize the Use of Bayesian Methodology in Your Clinical Trial Framework with nQuery Advanced

CE_35T 10:00 a.m. – 11:45 a.m.



Optimizing Your Tuning Parameters to Quickly Achieve the Superior Model Accuracy Expected from Expert Data Scientists and Statisticians Using Minitab’s Salford Predictive Modeler

CE_36T 1:00 p.m. – 2:45 p.m.


Weijie Cai Generalized Additive Modeling Using SAS®

CE_37T 1:00 p.m. – 2:45 p.m.


Yulia Marchenko Bayesian Analysis Using Stata

CE_38T 1:00 p.m. – 2:45 p.m.



Advanced Methods for Regression and Classification: Extend Your Modeling Toolkit Using Minitab’s Suite of Tools

CE_39T 3:00 p.m. – 4:45 p.m.


Yiu-Fai Yung Propensity Score Analysis and Causal Effect Estimation Using SAS®

PStat-, GStat-, and A.Stat- accredited members in good standing with the ASA or SSC will receive a 20% discount on Professional Devel-opment courses and workshops.

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REGISTRATION OPEN!

Early Registration Closes September 6

Hotel Reservations Close September 25

Students and mid-career and

experienced professionals all

will be represented!

Statistics and Data Science omen inis ...WelcomingInspiring EmpoweringMotivatingEye OpeningAwesome

... you.Learn more

and become involved at ww2.

amstat.org/wsds.

conferenceOctober 18-20, 2018

Cincinnati, Ohio

https://ww2.amstat.org/meetings/wsds/2018/


* Free to all attendees. No registration or ticket required.

PERSONAL SKILLS DEVELOPMENTPersonal skills development (PSD) consists of courses, workshops, and panel discussions on topics such as effective communication, collaboration, leadership, and influence. All PSDs are at the Vancouver Convention Centre East Building, with the exception of the JSM Presentation Skills Workshop, which will be held in the West Building, Meeting Room 115.

COURSE DATE TIME ROOM INSTRUCTOR(S) TITLE

CE_40P

Part I: Saturday, July 28Part II: Sunday, July 29

1:00 p.m. – 6:30 p.m.8:00 a.m. – 12:00 p.m.


Gary Sullivan/Bonnie LaFleur

Preparing Statisticians for Leadership: How to See the Big Picture and Have More Influence

CE_41P* Sunday, July 29 10:30 a.m. – 12:30 p.m.

West Meeting Room 115

Brian Wiens/Richard De Veaux/Scott Berry/Christopher Nachtsheim/William Li

JSM Presentation Skills Workshop (free event, no registration required)

CE_42P* Sunday, July 29 2:00 p.m. – 4:00 p.m.


Career Development: Equality in Leadership: Advocating and Embodying Equality in Leadership (free event, no registration required)

CE_43P

Part I: Monday, July 30 Part II: Tuesday, July 31

8:00 a.m. – 12:00 p.m.1:00 p.m. – 5:00 p.m.


Jennifer van Mullekom

Effective Presentations for Statisticians: Success = (PD)2

CE_44P 8:00 a.m. – 12:00 p.m.


Trevor Butterworth/Elisabeth Eaves

Scientific Communication: How to Write an Op-Ed

To view complete Professional Development course descriptions, visit ww2.amstat.org/jsm.

PROFESSIONAL DEVELOPMENT

ww2.amstat.org/jsm

28 JSM2018

For interesting discussion and a networking event that doesn’t bust your wallet, register for an A.M. roundtable discussion, offered Monday through Wednesday from 7:00 a.m. – 8:15 a.m. Tickets are just $25.

If early morning isn’t your style, P.M. roundtables also offer great discussion and networking opportunities and are held Sunday through Wednesday from 12:30 p.m. – 1:50 p.m. Tickets are $45.

Tickets for these events will be sold onsite until 2 p.m. the day before the occasion is scheduled, if the events are not already sold out.

ROUNDTABLES

Monday’s Breakfast

House-made pastries; seasonal

fruit; assorted yogurts; and a cup

of coffee, tea, or juice.

Sunday’s Lunch Grilled herb and garlic-marinated

chicken breast with roasted baby pota-toes and vegetable julienne sauté, sal-

ad, rolls with butter, and iced tea.

Chef’s choice of vegetarian menu.

Activity Number

Roundtable Number Sponsor Title Presenter,

Affiliation

SUNDAY, JULY 29Speaker with Lunch 12:30 – 1:50 p.m.(CC-West 201)

1 SL01

Statistical Partnerships Among Academe, Industry, and Government Committee

Some Thoughts on AIG from a Canadian Perspective

Nancy Reid, University of Toronto

MONDAY, JULY 30

Roundtables with Coffee 7:00 – 8:15 a.m. (CC-West Ballroom D)

88ML01

Biopharmaceutical Section

Evaluating Drug Combinations in the Discovery and Pre-Clinical Stage Jocelyn Sendecki

ML02 Composite Endpoints for Alzheimer’s Disease Clinical Trials

Steve Edland, University of California, San Diego

89 ML03Quality and Productivity Section

Dynamic Data Visualization Blanton Godfrey, North Carolina State University

90 ML04Section on Physical and Engineering Sciences

Putting the Green in Green Engineering with Data for Good

David Corliss, Peace-Work

91 ML05 Section on Risk Analysis Variability, Risk, and Data Science Aric LaBarr, Elder

Research Inc.


ROUNDTABLES

Monday’s LunchOven-roasted Pacific cod with Provencal potatoes and fresh seasonal vegetables, salad, rolls with butter, and iced tea. Chef’s choice of vegetarian menu.

Activity Number


Affiliation

A.M. Roundtable Discussions (continued)

92

ML06

Section on Statistical Consulting

Finding Your Niche as a Private Consultant

Kim Love, K. R. Love Quantitative Consulting and Collaboration

ML07 Optimization of Biostatistics Units in Health Centers

Anne-Sophie Julien, Research Centre of the CHU de Québec - Université Laval

93 ML08Section on Statistics and the Environment

Statistical Challenges in the Analysis of Distributed Remote Sensing Data

Amy Braverman, Jet Propulsion Laboratory

94 ML09Section on Statistics in Epidemiology

Interacting with a Mentor: Tips and Strategies for a Successful Relationship

Sujata M. Patil, Memorial Sloan Kettering Cancer Center

Speaker with Lunch 12:30 – 1:50 p.m. (CC-West 201)

200 ML10 Section on Statistics in Sports

Is Joe Flacco Elite? Hierarchical Models for Player Evaluation in Team Sports

Sam Ventura, Pittsburgh Penguins

Roundtables with Lunch 12:30 – 1:50 p.m. (CC-West Ballroom D)

201

ML11


Challenges in Oncology Pragmatic Trials Using Real-World Evidence Zhe Zhang, Pfizer Inc.

ML12 Assessing Treatment Benefit in Patient-Centric Study Designs

Jagadish Gogate, Johnson & Johnson-Janssen R&D

ML13Standard Analyses and Displays for Common Clinical Trial Data: An Industry-Wide Initiative

Mercidita Navarro, Genentech

202 ML14 Committee on Professional Ethics

Philosophical and Ethical Issues in Statistics Brian Zaharatos

203 ML15 Government Statistics Section

What if We Get a Break in Series? Risk Management in the Integration of Multiple Data Sources

John L. Eltinge, US Census Bureau

30 JSM2018

Activity Number


Affiliation

P.M. Roundtable Discussions (continued)

204ML16

Health Policy Statistics Section

Strengthening Partnerships in Community-Based Participatory Research by Demystifying Experimental Design and Statistical Analysis

Thomas Belin, University of California, Los Angeles

ML17 N-of-1 Trials for Making Personalized Treatment Decisions

Christopher Schmid, Brown University

205 ML18 Mental Health Statistics Section

Statistical Challenges in Developing Data-Driven Discovery, Diagnosis, and Treatment of Psychiatric Diseases

Thaddeus Tarpey, Wright State University

206

ML19Section on Statistical Consulting

How to Teach Essential Collaboration Skills to Undergraduate Statistics Majors

Heather Smith, Cal Poly

ML20

Importance of Development of Soft Skills for Career Development for Statisticians in a Collaborative Environment

Jayawant Mandrekar, Mayo Clinic

207 ML21 Section on Statistical Graphics

Teaching Interactive Statistical Graphics

Joyce Robbins, Columbia University

208 ML22Section on Statistics and the Environment

Global Estimation of Air Quality: Methods, Challenges, and Innovations

Gavin Shaddick, University of Exeter

209 ML23Section on Statistics in Epidemiology

New Quasi-Experimental Devices for Observational Studies

Dylan Small, University of Pennsylvania

210 ML24Section on Statistics in Imaging

Software, Tutorials, and Online Courses for Medical Imaging

Ciprian Crainiceanu, The Johns Hopkins University

ROUNDTABLES

MONDAY, JULY 30 CONTINUED

To view complete roundtable descriptions, visit ww2.amstat.org/jsm.

ww2.amstat.org/jsm


ROUNDTABLES

Tuesday’s BreakfastHouse-made pas-tries; seasonal fruit; assorted yogurts; and a cup of coffee, tea, or juice.

Activity Number


Affiliation

TUESDAY, JULY 31Roundtables with Coffee 7:00 – 8:15 a.m. (CC-West Ballroom D)

262 TL01 Biopharmaceutical Section

Clinical Trial Data Transparency and Patient Privacy

Darcy Hille, Merck & Co., Inc.

263 TL02 Caucus for Women in Statistics

Brainstorming Strategies for Dealing with Abuses of Power in the Statistics Community

Nancy Flournoy, University of Missouri

264 TL03 Health Policy Statistics Section

Completion Rates and Considerations for Analyses of Patient-Reported Outcomes in Open-Label Cancer Trials: FDA Review of Trials, 2007–2017

Jessica K. Roydhouse, US Food and Drug Administration

265 TL04Section on Bayesian Statistical Science

Interpretable Statistical Machine Learning for Validation and Uncertainty Quantification of Complex Models

Ana Kupresanin, Lawrence Livermore National Laboratory

266 TL05Section on Physical and Engineering Sciences

Real Experiences with Experimental Design: Composite Pressure Vessel Life Predict

Anne Driscoll

267 TL06Section on Statistical Computing

Julia Versus R Paul McNicholas, McMaster University

268 TL07Section on Statistical Consulting

Becoming a Stats Star: How to Step Up and Overcome Your Fears to Lead Fruitful Collaborations

Tamar Sofer, Brigham and Women’s Hospital

269 TL08Section on Statistical Education

What’s for Breakfast? How About Empiricism?

Robert Carver, Brandeis International Business School

270 TL09

Section on the Teaching of Statistics in the Health Sciences

Teaching Meta-Analysis for Health Scientists Laila Poisson

32 JSM2018

ROUNDTABLES

Activity Number


Affiliation


369 TL10Business and Economic Statistics Section

Through the Looking Glass: Has the Economy Turned Upside Down?

Constance L. Hunter, KPMG LLP


370

TL11


Bayesian Methods in Real-World Evidence for Medicinal Product Development: Can Prior Distributions Provide a Platform for Creating Real-World Evidence?

John Loewy, Dataforethought

TL12Uncertainty vs. Ambiguity in Structured Benefit-Risk (BR) Assessment Decisions

Shahrul Mt-Isa, Merck & Co., Inc.

TL13The Importance of Protocol Objectives to the Statistical Analysis

Richard McNally, Covance-Chiltern

TL14Statistical and Regulatory Issues in Combining Potency Estimates from Multiple Bioassay Runs

Stan Altan

371 TL15Committee on Applied Statisticians

How to Teach Essential Collaboration Skills

Eric Vance, LISA-University of Colorado Boulder

372 TL16 Government Statistics Section

Using the R Package: Recursive Partitioning for Modeling Survey Data (RPMS)

Daniell Toth, Bureau of Labor Statistics

373

TL17

Health Policy Statistics Section

From Theory to Practice: Applying Academic Solutions to Real-World Data

K. Blayne Easter, Depuy Synthes

TL18Exploring the Classification of the Urban-Rural Continuum: Issues and Opportunities

Jason Brinkley, Abt Associates Inc.

374 TL19 Mental Health Statistics Section

Causal Inference in the Era of Personalization: Handling Complexity with Simplicity

Kosuke Imai, Princeton University

TUESDAY, JULY 31 CONTINUED

Tuesday’s LunchGrilled herb and garlic-marinated

chicken breast with roasted baby pota-toes and vegetable

julienne sauté, salad, rolls with

butter, and iced tea. Chef’s choice

of vegetarian menu.


ROUNDTABLES

Activity Number


Affiliation

375

TL20Section on Statistical Consulting

Analytics for the Small to Medium Business

Chuck Kincaid, Experis BI & Analytics Practice

TL21 Breaking Bad: Giving Negative News Positively

Janet Wittes, Statistics Collaborative

376 TL22Section on Statistics in Epidemiology

The Role of Mobile Health in Precision Medicine

Susan Murphy, Harvard University

377 TL23Section on Statistics in Imaging

Advanced Methods in Quantitative Imaging Analysis

Hongtu Zhu, MD Anderson Cancer Center

378 TL24


Career Advice for Statistics Educators in the Health Sciences

Felicity Enders, Mayo Clinic

379 TL25 Survey Research Methods Section

Adaptive Design: Challenges in Practice

Michael Yang, NORC at the University of Chicago

WEDNESDAY, AUGUST 1Roundtables with Coffee 7:00 – 8:15 a.m. (CC-West Ballroom D)

439 WL01 Biopharmaceutical Section

Practical Guidelines and User-Friendly Software for Bayesian Adaptive Designs

J. Jack Lee, MD Anderson Cancer Center

440 WL02 Health Policy Statistics Section What Is Patient Experience Data? Laura Lee Johnson,

FDA

441 WL03Section on Medical Devices and Diagnostics

Actigraphy Data Within Clinical Trials: A Paradigm Shift on the Horizon?

Laura Cole, QST Consultations

442 WL04Section on Physical and Engineering Sciences

Collaboration Techniques for Successfully Identifying and Modeling Sources of Variation

Jonathan Stallings, North Carolina State University

443 WL05Section on Statistical Computing

Statistical and Computational Efficiency in Big Data Analytics

Eric Laber, North Carolina State University

444 WL06Section on Statistical Consulting

Consulting to Collaboration Roundtable

Emily Griffith, North Carolina State University

Wednesday’s BreakfastHouse-made pas-tries; seasonal fruit; assorted yogurts; and a cup of coffee, tea, or juice.

34 JSM2018

ROUNDTABLES

Activity Number


Affiliation

A.M. Roundtable Discussions (continued)

445 WL07Section on Statistical Learning and Data Science

Data Science in Marketing Research

Chen Teel, Electronic Arts

446 WL08Section on Statistics and the Environment

ENVR Mentoring Session Peter Craigmile, The Ohio State University

447 WL09


DataFests for Reinforcing Concepts, Challenging Students, and Creating Community in the Health Sciences

Jodi Lapidus, Oregon Health & Science University


541 WL10 Health Policy Statistics Section

When Do We Really Need Randomized Clinical Trials?

Christopher Hane, OptumLabs


542

WL11


Confessions of an Independent DMC Statistician

Brian Cohen, ACI Clinical

WL12

Active Reference vs. Active Comparator: What Should We Include to Design Late-Phase Studies?

Suchitrita Rathmann, Eli Lilly & Company

WL13Multiple Comparison Procedure: Modeling (MCP-Mod) Method Discussion

Aijun Gao, Chiltern, A Covance Company

543 WL14 Caucus for Women in Statistics

Thinking Big: Creating Global and Organizational Partnerships to Advance Women in Statistics

Amanda L. Golbeck, University of Arkansas for Medical Sciences

544 WL15 Government Statistics Section

Using Open-Source Software in Government Agencies

Wendy L. Martinez, Bureau of Labor Statistics

Wednesday’s Lunch

Chicken, ricotta, and spinach

cannelloni with tomato

and Alfredo sauc-es; garden veg-

etable selection; rolls with butter;

and iced tea. Chef’s choice of

vegetarian menu.

WEDNESDAY, AUGUST 1 CONTINUED


ROUNDTABLES

Activity Number


Affiliation

545 WL16 Mental Health Statistics Section

Small Data, N-of-1 Trials, and Personalized Medicine

Naihua Duan, Columbia University

546 WL17Quality and Productivity Section

Preparing Statistician to Successfully Data Scientist in Big Data Era

Ming Li, Amazon

547 WL18Section on Physical and Engineering Sciences

Successful Implementation of Bayesian Adaptive Designs in Medical Device Clinical Studies

Zengri Wang

548 WL19 Section on Risk Analysis

Assessment of Environment, Social, and Governance Risk Data and Modeling in Businesses

Sudipta Dasmohapatra, Duke University

549WL20

Section on Statistical Consulting

Consulting for Statistics Teachers: For Payment, as a Co-Author, or Just a Good Colleague?

Richard Cleary

WL21When Nonproportional Hazards Assumption Fails: Options, Opportunities, and Obstacles

Ralph Turner

550 WL22 Section on Statistical Graphics

Visualizing Uncertainty for the General Public

Edward Mulrow, NORC at the University of Chicago

551 WL23Section on Statistics and the Environment

Building Strong Connections Among Environmental and Ecological Statisticians Working Outside of Academia

Kathryn Irvine, US Geological Survey

552 WL24Section on Statistics in Epidemiology

Analysis of Interactions: Lessons Learned and Moving Forward

Bhramar Mukherjee, University of Michigan

553 WL25 Survey Research Methods Section Nonprobability Sampling Karol Krotki, RTI

International

To view complete roundtable descriptions, visit ww2.amstat.org/jsm.

ww2.amstat.org/jsm

36 JSM2018

TECHNICAL SESSIONS

Abbreviation Sponsor

ACCCP ASA Advisory Committee on Climate Change Policy

ACFS Advisory Committee on Forensic ScienceASA American Statistical AssociationASIG Astrostatistics Special Interest GroupB&E Business and Economic Statistics SectionBIOM Biometrics SectionBIOP Biopharmaceutical SectionCGLCS ASA LGBT Concerns CommitteeCANSSI Canadian Statistical Sciences InstituteCAUWOM Caucus for Women in StatisticsCCD Committee on Career DevelopmentCLJS Committee on Law and Justice StatisticsCNSL Section on Statistical ConsultingCOC Council of ChaptersCOPSS Committee of Presidents of Statistical SocietiesComputing Section on Statistical ComputingDEM Deming Lectureship CommitteeEDUC Section on Statistical Education

ENAR Eastern North American Region, International Biometric Society

ENVR Section on Statistics and the EnvironmentEPI Section on Statistics in EpidemiologyETHICS Committee on Professional EthicsGM General MethodologyGOVT Government Statistics SectionGRPH Section on Statistical GraphicsHPSS Health Policy Statistics SectionICSA International Chinese Statistical AssociationIISA International Indian Statistical AssociationIMAG Section on Statistics in ImagingIMS Institute of Mathematical StatisticsISBA International Society for Bayesian AnalysisISI International Statistical InstituteJASA JASA, Theory and MethodsJASAAPP JASA, Applications and Case StudiesJSE Journal of Statistics EducationJSMPS JSM Partner SocietiesKISS Korean International Statistical SocietyLDAIG Lifetime Data Analysis Interest GroupMDD Section on Medical Devices and Diagnostics

Abbreviation Sponsor

MEM MemorialMHSS Mental Health Statistics SectionMIN Committee on Minorities in StatisticsMKTG Section on Statistics in MarketingMSR Mu Sigma RhoNOETHER Noether Award CommitteeNPAR Section on Nonparametric StatisticsPRIV Committee on Privacy and ConfidentialityQ&P Quality and Productivity SectionRISK Section on Risk AnalysisRSS Royal Statistical SocietySA Sirken AwardSAIG Statistical Auditing Interest Group

SAMSI Statistical and Applied Mathematical Sciences Institute

SBSS Section on Bayesian Statistical Science

SDNS Section on Statistics in Defense and National Security

SGG Section on Statistics in Genomics and GeneticsSLDS Section on Statistical Learning and Data ScienceSOC Social Statistics SectionSPAAC Scientific and Public Affairs Advisory Committee

SPAIG Statistical Partnerships Among Academe, Industry, and Government Committee

SPES Section on Physical and Engineering SciencesSPORTS Section on Statistics in SportsSRMS Survey Research Methods SectionSSC Statistical Society of Canada

SSPA Section for Statistical Programmers and Analysts

SWB Statistics without Borders

Stat Bus Business Analytics/Statistics Education Interest Group

SXP Statistics and Pharmacometrics Interest Group

TECH Technometrics

TSHS Section on Teaching of Statistics in the Health Sciences

TSIG Transportation Statistics Interest Group

UQSIG Uncertainty Quantification for Complex Systems Interest Group

WNAR Western North American Region, International Biometric Society

SESSION SPONSOR KEY


Vancouver Convention Centre = CC Fairmont Waterfront = F

TECHNICAL SESSIONS

SUNDAY, JULY 29Sponsor 2:00 p.m. 4:00 p.m. 5:05 p.m. 8:30 p.m.

ACCCP 52 CC-West 206/207

ACFS 53 CC-West 120

B&E 30 CC-West 209 / 33 CC-West 115 64 CC-West 117 / 70 CC-West 116 86 CC-West Hall B

BIOM 21 CC-West 217 / 27 CC-West 213 / 31 CC-West 218 / 32 CC-West 219

51 CC-West 214 / 68 CC-West 218 / 69 CC-West 219 /83 CC-West Hall B

BIOP 17 CC-West 306 / 20 CC-West 214 / 37 CC-West 304/305 44 CC-West 306 / 75 CC-West 222

CANSSI 10 CC-West 122

CNSL 49 CC-West 213

COC 8 CC-West 120

Computing 11 CC-West 206/207 / 28 CC-West 208 50 CC-West 122 / 84 CC-West Hall B

EDUC 35 CC-East 9

ENAR 13 CC-West 222 / 18 CC-West 215/216 43 CC-West 304/305

ENVR 24 CC-West 117 62 CC-West 205 / 80 CC-West 204

EPI 36 CC-West 221 45 CC-West 224

GOVT 4 CC-East 10 58 CC-East 19 / 76 CC-East 17

GRPH 55 CC-East 16

HPSS 16 CC-West 118 60 CC-West 212

ICSA 77 CC-West 223

IMAG 14 CC-East 16 / 28 CC-West 208 61 CC-East 14 / 84 CC-West Hall B

IMS 15 CC-West 109 / 34 CC-West 112 48 CC-West 109

ISI 54 CC-West Ballroom A / 66 CC-West 221

JSE 9 CC-West 202

JSMPS 2 CC-West Ballroom A 42 CC-West 301

MDD 38 CC-West 119

MEM 3 CC-West 301

MHSS 28 CC-West 208 71 CC-West 202 / 84 CC-West Hall B

MKTG 73 CC-West 208

NPAR 6 CC-West 121 56 CC-West 114 / 72 CC-West 115

Q&P 65 CC-West 210

CC = Building

30 CC-210210 = Room Number

30 = Session Number

KEY

SUNDAY, JULY 29Sponsor 2:00 p.m. 4:00 p.m. 5:05 p.m. 8:30 p.m.

SBSS 7 CC-West 110 57 CC-West 110 / 78 CC-West 112 87 CC-West Hall B

SDNS 67 CC-West 118

SGG 29 CC-West 212 / 40 CC-West 223 63 CC-West 215/216 / 81 CC-West 217 85 CC-West Hall B

SLDS 23 CC-West 205 / 39 CC-West 204 46 CC-West 121 / 79 CC-West 119

SOC 5 CC-East 19 59 CC-East 9

SPES 82 CC-West 209

SRMS 25 CC-East 14 / 41 CC-East 17 47 CC-East 10

SSC 87 CC-West Hall B

SSPA 22 CC-West 210

TSHS 26 CC-West 116 74 CC-West 203

WNAR 12 CC-West 224

TECHNICAL SESSIONSVancouver Convention Centre = CC Fairmont Waterfront = F

We find connections in all the world’s data. These insights guide investment strategies

that support retirements, fund research, advance education and benefit philanthropic

initiatives. So, if harnessing the power of math, data and technology to help people is

something that excites you, let’s connect.

Visit us at www.twosigma.com/careers to learn more and apply.

We are Two Sigma

NEW YORK | HOUSTON | LONDON | HONG KONG | TOKYO

JSM 2018 | Come visit us at booth #503

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http://www.twosigma.com/careers



MONDAY, JULY 30Sponsor 8:30 a.m. 10:30 a.m. 11:35 a.m. 2:00 p.m. 3:05 p.m. 4:00 p.m.

ASA 261 CC-West Ballroom BC

B&E 109 CC-West 304/305 169 CC-East 19 221 CC-East 19

BIOM99 CC-West 211 / 123 CC-West 218

159 CC-West 219 / 162 CC-West 215/216 / 163 CC-West 212 / 168 CC-West 218

225 CC-West 219 / 233 CC-West 204 / 239 CC-West 218 / 240 CC-West 217 / 257 CC-West Hall B

BIOP

108 CC-West 214 / 110 CC-West 215/216 / 122 CC-West 219 / 129 CC-West 210

140 CC-West 211 / 174 CC-West 210

226 CC-West 214 / 228 CC-West 215/216 / 238 CC-West 209 / 247 CC-West 205 / 248 CC-West 119

CGLCS 182 CC-West Hall B

CNSL 127 CC-East 9 145 CC-West 204

Computing 131 CC-West 117

167 CC-West 114 / 176 CC-West 112

214 CC-West 110 / 253 CC-West Hall B

EDUC118 CC-West 209 / 128 CC-West 115

153 CC-West 202 / 181 CC-West Hall B / 196 CC-West Hall B

212 CC-West 109

ENAR 100 CC-West 217

138 CC-West 214

216 CC-West 206/207

ENVR96 CC-East 10 / 121 CC-West 212

144 CC-East 9 / 165 CC-West 208 / 192 CC-West Hall B

199 CC-West Hall B 251 CC-East 14 259 CC-West

Hall B

EPI 105 CC-West 206/207

164 CC-West 209 / 179 CC-West 222

227 CC-West 203 / 244 CC-West 202 / 258 CC-West Hall B

ETHICS 97 CC-West 306

GM 149 CC-West 301

CC = Building


30 = Session Number

KEY

40 JSM2018


TECHNICAL SESSIONS

MONDAY, JULY 30Sponsor 8:30 a.m. 10:30 a.m. 11:35 a.m. 2:00 p.m. 3:05 p.m. 4:00 p.m.GOVT 130 CC-West 114 155 CC-West 203 231 CC-West 114

GRPH 104 CC-West 110 191 CC-West Hall B

HPSS119 CC-West 213 / 124 CC-East 17

161 CC-East 10 / 197 CC-West Hall B

220 CC-East 17

ICSA152 CC-West 205 / 184 CC-West Hall B

IISA 141 CC-West 306

IMAG 173 CC-West 121

243 CC-West 121

IMS 106 CC-West 222

146 CC-West 119 / 158 CC-West 120 / 170 CC-West 116 / 183 CC-West Hall B

223 CC-West 306 / 242 CC-West 304/305

ISBA 230 CC-West 223

ISI 185 CC-West Hall B

JASA 107 CC-West 301

JSMPS 95 CC-West Ballroom A

137 CC-West Ballroom A


KISS 187 CC-West Hall B

LDAIG 113 CC-West 202

MDD 150 CC-East 17

MEM 224 CC-West 301

MHSS 111 CC-East 16 217 CC-East 16

MKTG 101 CC-West 121

NPAR

115 CC-West 221 / 120 CC-West 208 / 125 CC-West 223


198 CC-West Hall B

215 CC-West 224

Q&P 229 CC-East 9

RISK172 CC-East 16 / 190 CC-West Hall B

222 CC-West 116


TECHNICAL SESSIONS

MONDAY, JULY 30Sponsor 8:30 a.m. 10:30 a.m. 11:35 a.m. 2:00 p.m. 3:05 p.m. 4:00 p.m.

RSS 112 CC-West 122

SAMSI 102 CC-West 203

SBSS 98 CC-West 224



260 CC-West Hall B

SDNS 139 CC-West 109

232 CC-West 117

SGG133 CC-West 205 / 134 CC-West 204

178 CC-West 221

218 CC-West 213 / 246 CC-West 120

SLDS116 CC-West 120 / 132 CC-West 119

147 CC-West 110 / 177 CC-West 111


SOC 136 CC-West 112

157 CC-West 115

219 CC-West 118

SPES 126 CC-East 14 156 CC-East 14 / 189 CC-West Hall B

213 CC-East 10

SPORTS154 CC-West 122 / 193 CC-West Hall B

SRMS114 CC-West 109 / 135 CC-West 111

148 CC-West 118


SSC143 CC-West 206/207 / 194 CC-West Hall B

245 CC-West 122

SSPA 117 CC-West 118

255 CC-West Hall B

TSHS 103 CC-East 19 180 CC-West Hall B

UQSIG160 CC-West 304/305 / 195 CC-West Hall B

WNAR 142 CC-West 217

CC = Building


30 = Session Number

KEY

42 JSM2018


TUESDAY, JULY 31Sponsor 8:30 a.m. 9:25 a.m. 10:30 a.m. 11:35 a.m. 2:00 p.m. 3:05 p.m. 4:00 p.m. 8:00 p.m.

ACFS 291 CC-West 112

ASA

438 CC-West Ballroom BC

ASIG 334 CC-East 9

B&E 280 CC-East 19

330 CC-East 19


BIOM


335 CC-West 221 / 337 CC-West 222 / 343 CC-West 213 / 344 CC-West 223 / 358 CC-West Hall B / 366 CC-West Hall B

399 CC-West 115 / 401 CC-West 114 / 409 CC-West 111 / 410 CC-West 112

436 CC-West Hall B

BIOP

286 CC-West 120 / 290 CC-West 301 / 301 CC-West 213 / 307 CC-West 221 / 308 CC-West 304/305

315 CC-West Hall B

336 CC-West 224 / 338 CC-West 214 / 343 CC-West 213 / 350 CC-West 304/305 / 351 CC-West 219 / 359 CC-West Hall B

368 CC-West Hall B

385 CC-West 110 / 416 CC-West 121

436 CC-West Hall B

CAUWOM327 CC-West 215/216

CLJS 284 CC-West 215/216

CNSL 328 CC-East 10


COC 322 CC-West 109


TECHNICAL SESSIONS


Computing 288 CC-West 109

353 CC-West 122


DEM437 CC-West Ballroom BC

EDUC 287 CC-West 210

348 CC-West 112

380 CC-West 206/207

ENAR 296 CC-West 121

331 CC-West 206/207 / 360 CC-West Hall B

386 CC-West 119

ENVR 311 CC-West 114

317 CC-West 301

395 CC-West 304/305 / 423 CC-West 221

EPI


349 CC-West 202

367 CC-West Hall B

383 CC-West 109

GM 272 CC-West 214

GOVT282 CC-West 211 / 298 CC-West 208



GRPH 323 CC-West 203

403 CC-West 118

HPSS 303 CC-West 115

325 CC-West 110


ICSA 321 CC-West 306

418 CC-East 17

IISA 391 CC-West 224

IMAG 273 CC-West 206/207

398 CC-West 205

IMS 285 CC-West 219

320 CC-West 118 / 345 CC-West 117

387 CC-West 213 / 412 CC-West 219


CC = Building


30 = Session Number

KEY

44 JSM2018

TECHNICAL SESSIONS


ISI 304 CC-East 17



KISS 352 CC-East 14

MDD 278 CC-West 116

364 CC-West Hall B

420 CC-West 202

MEM 392 CC-West 306

MHSS 362 CC-West Hall B

394 CC-West 203

MKTG

405 CC-West 215/216 / 432 CC-West Hall B

NPAR 305 CC-West 117

333 CC-West 116 / 346 CC-West 115

381 CC-West 212

Q&P 324 CC-East 17


RISK 382 CC-West 120

RSS 293 CC-East 14

SAIG 406 CC-East 10

SBSS297 CC-West 202 / 309 CC-West 203

319 CC-West 120

400 CC-West 217 / 419 CC-West 214



388 CC-West 122



TECHNICAL SESSIONS


SLDS274 CC-West 110 / 310 CC-West 111



SOC 326 CC-West 210


SPAAC 408 CC-West Hall B

SPES 289 CC-East 10

347 CC-East 16

393 CC-West 301

SPORTS 342 CC-West 209

413 CC-East 14

435 CC-West Hall B

SRMS


314 CC-West Hall B


389 CC-West 209 / 425 CC-West Hall B / 433 CC-West Hall B

SSC 275 CC-East 9

342 CC-West 209

397 CC-East 19 / 414 CC-East 16

435 CC-West Hall B


SXP 363 CC-West Hall B

TECH 279 CC-West 306

TSHS 295 CC-West 217

TSIG415 CC-East 9 / 431 CC-West Hall B

WNAR 276 CC-West 222


CC = Building


30 = Session Number

KEY

46 JSM2018


WEDNESDAY, AUGUST 1Sponsor 8:30 a.m. 10:30 a.m. 11:35 a.m. 2:00 p.m. 4:00 p.m.

B&E 480 CC-West 221 492 CC-West 222 576 CC-East 16

BIOM



554 CC-West 301 / 582 CC-West 223

BIOP

468 CC-West 120 / 469 CC-West 119 / 476 CC-West 212 / 483 CC-West 115 / 484 CC-West 121


540 CC-West Hall B

568 CC-West 118 / 590 CC-West 119

CAUWOM 557 CC-West 306

CCD 519 CC-West 210

CNSL 516 CC-West 202 560 CC-East 19

COPSS 597 CC-West Ballroom BC

Computing 486 CC-West 219 497 CC-West 121


EDUC 471 CC-West 205 523 CC-West 217 558 CC-West 212

ENAR 452 CC-West 109 494 CC-West Ballroom A 556 CC-West 122

ENVR 488 CC-West 218 513 CC-West 204 559 CC-West 208

EPI474 CC-West 209 / 482 CC-West 114

505 CC-West 206/207 / 534 CC-West Hall B / 537 CC-West Hall B

555 CC-West 224

GOVT 463 CC-West 206/207 495 CC-West 224

580 CC-West 210 / 591 CC-West 213

GRPH 461 CC-West 202 588 CC-West 202

HPSS 473 CC-West 214 491 CC-West 213 583 CC-West 209

ICSA 498 CC-West 122 592 CC-East 9

IISA 464 CC-West 304/305


TECHNICAL SESSIONS


IMAG518 CC-West 214 / 536 CC-West Hall B

562 CC-West 304/305

IMS 455 CC-East 16 510 CC-East 16

564 CC-West Ballroom A / 566 CC-West 215/216 / 584 CC-West 218

ISBA 472 CC-East 14 501 CC-East 19

JASAAPP 565 CC-West 109


KISS 506 CC-West 304/305

MDD 527 CC-West 208 575 CC-West 214

MHSS 458 CC-West 211 517 CC-West 205

MIN 459 CC-West 118

MKTG 574 CC-East 17

MSR 567 CC-West 211

NOETHER 499 CC-West 211

NPAR 449 CC-East 10 522 CC-East 9 570 CC-West 222 / 585 CC-West 219

Q&P 481 CC-West 223

RISK 466 CC-West 222 587 CC-West 117

RSS 573 CC-West 120

SA 500 CC-West 301

SBSS470 CC-East 17 / 477 CC-West 213 / 485 CC-East 19

507 CC-East 14 / 526 CC-East 17

539 CC-West Hall B 561 CC-West 217

CC = Building 30 CC-210

210 = Room Number30 = Session Number

KEY

48 JSM2018


SDNS 589 CC-West 116



595 CC-West 221

SLDS453 CC-West 215/216 / 487 CC-West 217


577 CC-West 110 / 594 CC-West 111

SOC465 CC-West 204 / 475 CC-West 208


563 CC-West 206/207

SPES 457 CC-West 224 509 CC-West 203 586 CC-East 14

SPORTS 451 CC-West 301

SRMS 450 CC-West 203



SSC 493 CC-West 306


SWB 460 CC-West 210

Stat Bus 579 CC-East 10

TSHS 496 CC-West 215/216

TSIG 462 CC-East 9 503 CC-East 10

WNAR 454 CC-West 110 569 CC-West 121




KEY


THURSDAY, AUGUST 2

Sponsor 8:30 a.m. 10:30 a.m.

B&E 605 CC-West 116 660 CC-East 17

BIOM 608 CC-West 213 / 625 CC-West 112 655 CC-West 116 / 658 CC-West 122

BIOP 614 CC-West 110 / 617 CC-West 214 / 631 CC-West 114 / 632 CC-West 115


CGLCS 647 CC-East 16

CNSL 607 CC-West 117 663 CC-East 19

Computing 621 CC-West 224 644 CC-West 211

EDUC 624 CC-West 210 651 CC-West 203

ENAR 603 CC-West 109 / 620 CC-West 215/216 639 CC-West 224

ENVR 619 CC-East 19 / 636 CC-East 17 661 CC-West 222 / 678 CC-West 223

EPI 606 CC-West 212 652 CC-West 109 / 672 CC-West 115

GOVT 622 CC-West 211 / 633 CC-West 208

GRPH 610 CC-West 118 671 CC-West 304/305

HPSS 626 CC-East 16 648 CC-West 215/216

ICSA 654 CC-East 9

IMAG 657 CC-West 204

IMS 602 CC-West 222 / 627 CC-West 221 645 CC-West 217 / 667 CC-West 218


ISI 649 CC-West 212

MDD 676 CC-West 221

MEM 599 CC-West 217 641 CC-West 306

MHSS 628 CC-East 14

NPAR 616 CC-West 219 / 629 CC-West 218 640 CC-West 206/207 / 669 CC-West 219

PRIV 612 CC-West 202

Q&P 670 CC-East 14

RISK 618 CC-West 223 665 CC-West 210

SBSS 611 CC-West 203 / 634 CC-West 204 / 638 CC-West 205 653 CC-West 213 / 666 CC-West 214

SDNS 630 CC-East 9

SGG 679 CC-West 114

TECHNICAL SESSIONS

50 JSM2018

THURSDAY, AUGUST 2Sponsor 8:30 a.m. 10:30 a.m.

SLDS 609 CC-West 301 / 635 CC-West 304/305 642 CC-West 301 / 677 CC-West 111

SOC 613 CC-West 209 650 CC-West 202

SPAIG 598 CC-West 306

SPES 646 CC-East 10

SRMS 615 CC-West 120 / 637 CC-West 119 662 CC-West 205 / 675 CC-West 208 / 680 CC-West 209

SSC 600 CC-West 121


SXP 659 CC-West 121

TSHS 623 CC-East 10




KEY

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jsm - american statistical association · 2018. 6. 18. · fundamentals of nonparametric bayesian...

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