CURRICULUM VITAE

Thomas Kneib

Business address:

Thomas KneibInstitut fur MathematikCarl von Ossietzky Universitat Oldenburg26111 Oldenburg

Tel.: 0049 441 798 3240Fax: 0049 441 798 3004

E-Mail: thomas.kneib@uni-oldenburg.deWeb: http://www.staff.uni-oldenburg.de/thomas.kneib

Overview

1 Curriculum Vitae 1

2 Publications 4

3 Talks & Posters 12

4 Research 20

5 Software 28

6 Teaching 30

7 University Self-Administration 36

1 Curriculum Vitae 1

1 Curriculum Vitae

Name: Dr. Thomas Kneib

Date of birth: 04.12.1976

Place of birth: Bad Sobernheim

Nationality: German

Professional Career

• since April 2010Head of the German Science Foundation (DFG) Research Project “Structured Ad-ditive Quantile und Expectile Regression”Department of Mathematics, Carl von Ossietzky University Oldenburg

• April 2009Appointment for a professorship “Statistics in economics and social sciences”at theUniversity of Rostock (rejected)

• since April 2009Professor for Applied StatisticsDepartment of Mathematics, Carl von Ossietzky University Oldenburg

• since April 2007Head of the German Science Foundation (DFG) Research Project “Bayesian Regu-larisation for Regression Models with High-Dimensional Predictors” (with LudwigFahrmeir)

• October 2008 – March 2009Substitute professor at the Chair for Statistics (Walter Zucchini)Institute of Statistics and Econometrics, Georg-August-University Gottingen

• January 2007 – March 2009Postdoc position (Akademischer Rat auf Zeit)Department of Statistics, Ludwig-Maximilians-University Munich

• April 2007 – September 2007Visiting Professor for Applied StatisticsFaculty of Mathematics and Economics, University of Ulm

• January 2007 – March 2007Teaching position “Statistics 1 for Social Science Students”University of the Federal Armed Forces Munich

• March 2003 – December 2006Research Assistant Department of Statistics and Collaborative Research Center(SFB) 386 “Statistical Analysis of Discrete Structures”Contributions as statistical consultant to the Statistical Consulting Unit of Ludwig-Maximilians-University Munich

2 1 Curriculum Vitae

• February 2001 – February 2003Student assistant, Collaborative Research Center 386 “Statistical Analysis of Dis-crete Structures”

• January – March 2000Student assistant, Statistical Consulting Unit, Ludwig-Maximilians-University Mu-nich

Habilitation

• Subject: Statistical Modelling Based on Structured Additive Regression

• February 2009:Habilitation in Statistics.

• Mentor board: Prof. Dr. Ludwig Fahrmeir (LMU Munich), Prof. Dr. Thomas Au-gustin (LMU Munich) and Prof. Dr. Goran Kauermann (University of Bielefeld)

• November 2006 – February 2009Postdoctoral researcher (Habilitand) in Statistics, Ludwig-Maximilians-UniversityMunich

Promotion

• Subject: Mixed Model Based Inference in Structured Additive Regression

• March 2006Dr. rer. nat. (summa cum laude)Award for the best doctoral graduates of the faculty for an outstanding doctoralthesis

• Referees: Prof. Dr. Ludwig Fahrmeir (LMU Munich), Prof. Dr. Helmut Kuchenhoff(LMU Munich), Prof. Dr. Goran Kauermann (University of Bielefeld)

• March 2003 – March 2006Doctoral Program Statistics, LMU Munich

Civilian Service

• Hospital of the Anhaltische Diakonissenanstalt DessauSeptember 1996 – September 1997

Education

• Diploma Course Statistics, Ludwig-Maximilians-University MunichSummer term 1998 – winter term 2002/03

1 Curriculum Vitae 3

– Diploma: Winter term 2002/03 (excellent, 1.0)Award for the best graduates of the faculty for an outstanding diploma thesis

– Subject of the thesis: Bayes Inference in Generalised Geoadditive Mixed Models

– Area of specialisation during the advanced study period: Probability theoryand mathematical statistics

– Minor subjects: political sciences, social sciences

• Internship: Statistisches Landesamt Sachsen-Anhalt in Halle (Saale)October 1997 – February 1998

• Emanuel-Felke-Gymnasium Bad Sobernheim1987 – 1996Specialised courses: Mathematics, physics, EnglishJune 1996 Abitur

• Grundschule Bad Sobernheim1983 – 1987

4 2 Publications

2 Publications

Books (6)

1. Fahrmeir, L., Kneib, T. & Lang, S., Marx, B. (2011, in preparation)Regression – Models, Methods and ApplicationsSpringer Verlag

2. Fahrmeir, L. & Kneib, T. (2011, to appear)Bayesian Smoothing and Regression for Longitudinal, Spatial and Event HistoryDataOxford University Press

3. Kneib, T. & Tutz, G. (Eds.) (2010)Statistical Modelling and Regression Structures - Festschrift in Honour of LudwigFahrmeirPhysica Verlag

4. Fahrmeir, L., Kneib, T. & Lang, S. (2009)Regression – Modelle, Methoden und Anwendungen (2. corrected printing)Springer Verlag

5. Fahrmeir, L., Kneib, T. & Lang, S. (2007)Regression – Modelle, Methoden und AnwendungenSpringer Verlag

6. Kneib, T. (2006)Mixed model based inference in structured additive regression (PhD thesis)Dr. Hut-Verlag, MunchenElectronic version available from the LMU library (http://edoc.ub.uni-muenchen.de/archive/00005011/)

Peer-Reviewed Papers and Book Chapters (43)

1. Hofner, B., Hothorn, T., Schmid, M. & Kneib, T. (2011)A Framework for Unbiased Model Selection Based on BoostingTo appear in Journal of Computational and Graphical Statistics

2. Sobotka, F. & Kneib, T. (2011)Geoadditive Expectile RegressionTo appear in Computational Statistics and Data Analysis

3. Kneib, T. & Fahrmeir, L. (2011)A Space-Time Study on Forest HealthTo appear in: Chandler, R. E. & Scott, M. (Eds.): Statistical Methods for TrendDetection and Analysis in the Environmental SciencesWiley

2 Publications 5

4. Kneib, T., Knauer, F. & Kuchenhoff, H. (2011)A General Approach for Modelling Habitat SelectionTo appear in Environmental and Ecological Statistics

5. Hothorn, T., Muller, J., Schroder, B., Kneib, T. & Brandl, R. (2011)Decomposing Environmental, Spatial, and Spatiotemporal Components of SpeciesDistributionsTo appear in Ecological Monographs

6. Hofner, B., Kneib, T., Hartl, W. & Kuchenhoff, H. (2011)Building Cox-Type Structured Hazard Regression Models with Time-Varying Ef-fectsStatistical Modelling, 11, 3-24

7. Kneib, T., Konrath, S. & Fahrmeir, L. (2011)High-dimensional Structured Additive Regression Models: Bayesian Regularisation,Smoothing and Predictive PerformanceApplied Statistics, 60, 51–70.

8. Greven, S. & Kneib, T. (2010)On the Behavior of Marginal and Conditional Akaike Information Criteria in LinearMixed ModelsBiometrika, 97, 773–789.

9. Krivobokova, T., Kneib, T. & Claeskens, G. (2009)Simultaneous Confidence Bands for Penalized Spline EstimatorsJournal of the American Statistical Association, 105, 852-863

10. Wiesenfarth, M. & Kneib, T. (2010)Bayesian Geoadditive Sample Selection ModelsApplied Statistics, 59, 381–404

11. Fahrmeir, L., Konrath, S. & Kneib, T. (2010)Bayesian Regularisation in Structured Additive Regression: A Unifying Perspectiveon Shrinkage, Smoothing and Predictor SelectionStatistics and Computing, 20, 203–219

12. Cadarso-Suarez, C., Meira-Machado, L., Kneib, T. & Gude, F. (2010)Flexible hazard ratio curves for continuous predictors in multi-state models: anapplication to breast cancer dataStatistical Modelling, 10, 291-314.

13. Hothorn, T., Buhlmann, P., Kneib, T., Schmid, M. & Hofner, B. (2010)Model-based Boosting 2.0Journal of Machine Learning Reseach - Machine Learning Open Source Software,11

6 2 Publications

14. Kneib, T., Brezger, A., & Crainiceanu, C. M. (2010)Generalized Semiparametric Regression Models with Nonparametric Effects of Co-variates Measured with ErrorIn: Kneib, T. & Tutz, G. (Eds.): Statistical Modelling and Regression Structures –Festschrift in Honour of Ludwig FahrmeirPhysica Verlag

15. Kneib, T. (2010)Exploratory Data AnalysisLeidl, R and Hartmann, A. (eds.): Modern Comutational Science 2010Oldenburg University Press

16. Kneib, T. (2010)Semiparametric RegressionLeidl, R and Hartmann, A. (eds.): Modern Comutational Science 2010Oldenburg University Press

17. Alexopoulos, P., Lehrl, S., Richter-Schmiedinger, T., Kreusslein, A.,Hauenstein, T., Bayerl, F., Jung, P., Kneib, T., Kurz, A., Kornhuber,J. & Bleich, S. (2010)Short-term influence of changes in plasma homocysteine levels on cognitive functionin young healthy adultsThe Journal of Nutrition, Health and Aging, 14, 283–287

18. Alexopoulos, P., Ebert, A., Richter-Schmidinger, T., Scholl, E., Na-tale, B., Aguilar, C., Gourzis, P., Weih, M., Perneczky, R., Diehl-Schmid. J., Kneib, T., Forstl, H., Kurz, A., Danek, A. and Kornhuber,J. (2010)Validation of the German Addenbrookes Cognitive Examination - Revised for de-tecting mild cognitive impairment, mild dementia in Alzheimers disease and fronto-temporal lobar degenerationDementia and Geriatric Cognitive Disorders, 29, 448–456.

19. Bassler, C., Muller, J., Hothorn, T., Kneib, T., Badeck, F. & Dziock,F. (2009)Estimation of the extinction risk of high montane species after global warming andcomparison of their suitability as cross-taxon indicatorsEcological Indicators, 10, 341–352

20. Kneib, T. (2009)Exploratory Data AnalysisLeidl, R & Hartmann, A. (Eds.): Modern Computational Science 2009Oldenburg University Press

21. Kneib, T., Hothorn, T. & Tutz, G. (2009)Model Choice and Variable Selection in Geoadditive Regression ModelsBiometrics, 65, 626–634

2 Publications 7

22. Scheipl, F. & Kneib, T. (2009)Locally Adaptive Bayesian P-Splines with a Normal-Exponential-Gamma PriorComputational Statistics & Data Analysis, 53, 3533–3552

23. Fahrmeir, L. & Kneib, T. (2009)Discussion on “Approximate Bayesian inference for latent Gaussian models by usingintegrated nested Laplace approximations” by Rue, H., Martino, S. & Chopin, N.Journal of the Royal Statistical Society B, 71, 367

24. Fahrmeir, L. & Kneib, T. (2009)Propriety of Posteriors in Structured Additive Regression Models: Theory and Em-pirical EvidenceJournal of Statistical Planning and Inference, 139, 843–859

25. Kalus, S., Kneib, T., Steiger, A., Holsboer, F. & Yassouridis, A. (2009)A new strategy to analyze possible association structures between dynamic noctur-nal hormone activities and sleep alterations in humansAmerican Journal of Physiology – Regulatory, Integrative and Comparative Physio-logy, 296, R1216–R1227

26. Beyersmann, J., Kneib, T., Schumacher, M. & Gastmeier, P. (2009)Nosocomial infection, length of stay and time-dependent biasInfection Control and Hospital Epidemiology, 30, 273-276

27. Strasak, A. M., Lang, S., Kneib, T., Brant, L. J., Klenk, J., Hilbe, W.,Oberaigner, W., Ruttmann, E., Kaltenbach, L., Concin, H., Diem, G.,Pfeiffer, K. P., Ulmer, H. & the VHM&PP Study Group (2009)Use of Penalized Splines in Extended Cox-type Additive Hazard Regression to Fle-xibly Estimate the Effect of Time-varying Serum Uric Acid on Risk of Cancer Inci-dence: A Prospective, Population-based Study in 78850 MenAnnals of Epidemiology, 19, 15–24

28. Alexopoulos, P., Gunther, F., Popp, J., Jessen, F., Peters, O., Wolf,S., Kneib, T., Kurz, A., Richter-Schmidinger, T., Lewczuk, P., Bleich,S., Wiltfang, J. & Kornhuber, J. (2009)Plasma homocysteine and Cerebrospinal fluid (CSF) neurodegeneration biomarkersin Mild Cognitive Impairment (MCI) and dementiaJournal of the American Geriatrics Society, 57, 737–739

29. Moubarak, P., Zilker, S., Wolf, H., Hofner, B., Kneib, T., Kuchen-hoff, H., Jauch, K.-W. & Hartl. W. H. (2008)Activity-guided antithrombin III therapy in severe surgical sepsis: Eficacy and sa-fety according to a retrospective data analysis.Shock, 30, 634–641

8 2 Publications

30. Weidinger, S., Baurecht, H., Wagenpfeil, S., Henderson, J., Novak,N., Sandilands, A., Chen, H., Rodriguez, E., O’Regan, G. M., Watson,R., Liao, H., Zhao, Y., Barker, J. N. W. N. , Allen, M., Reynolds, N.,Meggit, S., Northstone, K., Smith, G. D., Strobl, C., Stahl, C., Kneib,T., Klopp, N. Bieber, T., Behrendt, H., Palmer, C. N. A., Wichmann,H.-E., Ring, J., Illig, T., McLean, W. H. I., Irvine, A.D. (2008)Analysis of the individual and aggregate genetic contributions of previously identi-fied SPINK5 , KLK7 and FLG polymorphisms to eczema risk.The Journal of Allergy and Clinical Immunology, 122, 560–568

31. Kneib, T. & Hennerfeind, A. (2008)Bayesian Semiparametric Multi-State ModelsStatistical Modelling, 8, 169–198

32. Strobl, C., Boulesteix, A.-L., Kneib, T., Augustin, T. & Zeileis, A.(2008)Conditional Variable Importance for Random ForestsBMC Bioinformatics, 9:307

33. Kneib, T., Muller, J. & Hothorn, T. (2008)Spatial Smoothing Techniques for the Assessment of Habitat SuitabilityEnvironmental and Ecological Statistics, 15, 343–364

34. Kneib, T., Belitz, C., Brezger, A. & Lang, S. (2008)BayesX - Bayesian inference in structured additive regressionSoftware Highlight in ISBA Bulletin 15(1)

35. Fahrmeir, L. & Kneib, T. (2008)On the Identification of Trend and Correlation in Temporal and Spatial RegressionIn: Shalab & Heumann, C. (Eds.): Recent advances in linear models and relatedareasSpringer Verlag

36. Muller, J., Bußler, H. & Kneib, T. (2008)Saproxylic Beetle Assemblages Related to Silvicultural Management Intensity andStand Structures in a Beech Forest in Southern GermanyJournal of Insect Conservation, 12, 107–124

37. Kneib, T. & Petzoldt, T. (2007)Introduction to the Special Volume on ‘Ecology and Ecological Modelling in R’Journal of Statistical Software, 22 (1)

38. Kneib, T., Baumgartner, B. & Steiner, W. J. (2007)Semiparametric Multinomial Logit Models for Analysing Consumer Choice Beha-viourAStA Advances in Statistical Analysis, 91, 225–244

39. Kneib, T. & Fahrmeir, L. (2007)A Mixed Model Approach for Geoadditive Hazard RegressionScandinavian Journal of Statistics, 34, 207–228

2 Publications 9

40. Kneib, T. (2006)Geoadditive Hazard Regression for Interval Censored Survival TimesComputational Statistics and Data Analysis, 51, 777–792

41. Kneib, T. & Fahrmeir, L. (2006)Structured Additive Regression for Categorical Space-Time Data: A Mixed ModelApproachBiometrics, 62, 109–118

42. Brezger, A., Kneib, T. & Lang, S. (2005)BayesX: Analysing Bayesian Structured Additive Regression ModelsJournal of Statistical Software, 14 (11)

43. Fahrmeir, L., Kneib, T. & Lang, S. (2004)Penalized Structured Additive Regression for Space-Time Data: a Bayesian Perspec-tiveStatistica Sinica, 14, 731–761

Submitted Papers and Reports (10)

1. Alvaro-Meca, A., Kneib, T., Gil-Prieto, R. and de Miguel, A. G. (2011)Epidemiology Of Suicide in Spain, 1981-2008: A Spatiotemporal Analysis

2. Mayr, A., Fenske, N., Hofner, B., Kneib, T. and Schmid, M. (2011)GAMLSS for high-dimensional data - a flexible approach based on boostingDepartment of Statistics, Technical Report No. 98

3. Pata, M. P., Kneib, T., Cadarso-Suarez, C., Lustres-Perez, V. andFernandez-Pulpeiro, E. (2010)Categorical Structured Additive Regression for Assessing Habitat Suitability in theSpatial Distribution of Mussel Seed Abundance

4. Guthlin, D., Knauer, F., Kneib, T., Kuchenhoff, H., Kaczensk, P., Rau-er, G., Jonozovic, M. and Mustoni, A. (2010)Estimating habitat suitability and potential population size for brown bears in theEastern AlpsIn Revision fur Biological Conservation

5. Richter-Schmidinger, T., Alexopoulos, P., Horn, M., Maus, S., Rei-chel, M., Rhein, C., Lewczuk, P., Sidiropoulos, C., Kneib, T., Per-neczky, R., Doerfler, A. & Kornhuber, J. (2010)Influence of Brain-derived neurotrophic-factor and Apolipoprotein E genetic vari-ants on hippocampal volume and memory performance in healthy young adults

6. Heinzl, F., Kneib, T. & Fahrmeir, L. (2009)Additive mixed models with Dirichlet process mixture and P-spline priorsDepartment of Statistics, Technical Report No. 68

10 2 Publications

7. Baumgartner, B., Steiner, W. J. & Kneib, T. (2009)Estimating Time-Dependent Effects in Brand Choice Models: A SemiparametricApproachIn revision for International Journal of Research in Marketing

8. Fenske, N. Kneib, T. & Hothorn, T. (2009)Identifying Risk Factors for Severe Childhood Malnutrition by Boosting AdditiveQuantile RegressionDepartment of Statistics, Technical Report No. 52In revision for Journal of the American Statistical Association

9. Hofner, B., Hothorn, T. & Kneib, T. (2008)Variable Selection and Model Choice in Structured Survival ModelsDepartment of Statistics, Technical Report No. 43

10. Konrath, S., Kneib, T. & Fahrmeir, L. (2008)Bayesian Regularisation in Structured Additive Regression Models for Survival DataDepartment of Statistics, Technical Report No. 35

Contributions in Conference-Proceedings (4)

1. Greven, S. & Kneib, T. (2009)Marginal and Conditional Akaike Information Criteria in Linear Mixed ModelsProceedings of the 24th International Workshop on Statistical ModellingEd.: Booth, J. G.

2. Kneib, T. & Hennerfeind, A. (2006)A Nonparametric Multi-State Model for the Analysis of Human SleepProceedings of the 21st International Workshop on Statistical ModellingEds.: Hinde, J., Einbeck, J. and Newell, J.

3. Kneib, T. & Fahrmeir, L. (2004)Structured Additive Regression for Multicategorical Space-Time Data: a Mixed Mo-del ApproachProceedings of the 19th International Workshop on Statistical Modelling, 164–168Eds.: Biggeri, A., Dreassi, E., Lagazio, C. & Marchi, M.Firenze University Press

4. Kneib, T. (2004)Penalized Structured Additive Regression for Space-Time DataAbstracts of the Joint Meeting of the IBS-DR and the DAE.Biometrical Journal Supplement, 46, 1

Further Papers (4)

1. Brezger, A., Kneib, T. & Lang, S. (2006)Manuals for BayesX – A Software for Bayesian Inference in Structured AdditiveRegression Models

2 Publications 11

2. Kneib, T. & Fahrmeir, L. (2005)Supplement to ’Structured Additive Regression for Categorical Space-Time Data:A Mixed Model Approach’Discussion Paper 431, SFB 386

3. Kneib, T., Lang, S. & Brezger, A. (2004)Bayesian Semiparametric Regression Based on Mixed Model Methodology: A Tuto-rial

4. Kneib, T., Lang, S. & Brezger, A. (2004)Bayesian Semiparametric Regression Based on MCMC Techniques: A Tutorial

12 3 Talks & Posters

3 Talks & Posters

Invited Talks

1. Bayesian Geoadditive Sample Selection ModelsZurcher Kolloquium uber anwendungsorientierte StatistikZurich, 10.3.2011

2. Analyzing spatial heterogeneity with geoadditive regression modelsXXVth International Biometric Conference 2010Florianapolis, 5. – 10.12.2010

3. Penalisierte Splines und ihre Anwendung in der BiostatistikFakultat fur Mathematik und Wirtschaftswissenschaften, Universitat UlmUlm, 2.12.2010

4. Semiparametric quantile and expectile regression28th European Meeting of StatisticiansPiraeus, 17. – 22.8.2010

5. Semiparametrische RegressionKolloquium des Instituts fur PsychologieOldenburg, 5.8.2010

6. Semiparametrische Quantil- und ExpektilregressionLudwig-Maximilians-Universitat MunchenMunchen, 12.5.2010

7. Semiparametrische Quantil- und ExpektilregressionGeorg-August-Universitat Gottingen Gottingen, 3.5.2010

8. Semiparametrische RegressionOFFIS SeminarOldenburg, 29.10.2009

9. Survival of the fittest - Wie statistische Modelle an Daten angepasst werdenTag der Mathematik 2009Oldenburg, 28.10.2009

10. Statistik - Von der Kunst der verantwortungsvollen DatenanalyseLange Nacht der WissenschaftenOldenburg, 25.9.2009

11. Analysing Spatio-temporal Regression Data: A Case Study in Forest Health2nd Gottingen Workshop on Kernel Based MethodsGottingen, 3. – 5.6.2009

12. BayesX and INLA - Opponents or Partners? (with Monia Mahling)INLA User ConferenceTrondheim, 14. – 16.5.2009

3 Talks & Posters 13

13. Bayesian Smoothness and Shrinkage Priors in Regression (with Ludwig Fahrmeirand Susanne Konrath)55. Biometrisches Kolloquium der Deutschen Region der International BiometricSocietyHannover, 17. – 19.3.2009

14. On the Behavior of Marginal and Conditional Akaike Information Criteria in LinearMixed Models (with Sonja Greven)Kolloquium des Zentrums fur StatistikBielefeld, 10.2.2009

15. Bayesianische Regularisierung in semiparametrischen RegressionsmodellenFakultat Statistik, Technische Universitat DortmundDortmund, 31.10.2008

16. Zeitvariierende Effekte in Markenwahl-ModellenInstitut fur Statistik, Universitat InnsbruckInnsbruck, 29.9.2008

17. Time-varying Coefficients in Brand Choice ModellingStatistische Woche Koln14. – 18.9.2008

18. Bayesianische Regularisierungs-PriorisFakultat fur Mathematik und Naturwissenschaften, Universitat OldenburgOldenburg, 26.8.2008

19. Semiparametrische Multinomiale Logit-Modelle zur MarkenwahlanalyseFakultat Verkehrswissenschaften “Friedrich List”TU Dresden, 23.7.2008

20. Semiparametrische MehrstadienmodelleInstitut fur Medizinische Informationsverarbeitung, Biometrie und Epidemiologie,LMU MunchenMunchen, 30.6.2008

21. Generalised Structured Additive Regression: Regularisation, Estimation and ModelChoiceInstitut fur Mathematik der Universitat ZurichZurich, 23.5.2008

22. Boosting Geoadditive Regression ModelsORSTAT (Operations Research & Business Statistics)Katolieke Universitet LeuvenLeuven, 8.5.2008

23. Model Choice and Variable Selection in Geoadditive RegressionStatistics and Life Sciences: Perspectives and ChallengesMunchen, 10. – 13.3.2008

14 3 Talks & Posters

24. Model Choice and Variable Selection in Geoadditive RegressionEnsemble WorkshopBerlin, 11. – 12.2.2008

25. Bayesian Regularisation PriorsDKFZ-SeminarHeidelberg, 21.1.2008

26. Regularising Geoadditive Regression ModelsSelection Symposium Courant Research Centre

”Poverty, Equity, and Growth in

Developing and Transition Countries“Gottingen, 17. – 19.1.2008

27. Semiparametrische Multinomiale Logit Modelle zur Markenwahl-AnalyseKolleg-SeminarUlm, 30.11.2007

28. Modelling Geoadditive Regression DataMathematisches KolloquiumKarlsruhe, 29.11.2007

29. Bayesian Structured Hazard RegressionSeminar on Data Analysis and ModelingFreiburg, 16.11.2007

30. Structured Hazard RegressionRecent Advances in the Statistical Analysis of Count and Survival DataZurich, 25 – 26.9.2007

31. BayesX: Analysing Geoadditive Regression Data18th Annual Meeting of the International Environmetrics SocietyMikulov, 16. – 20.8.2007

32. Semiparametric Event History Models for Analyzing Human Sleep Data (with Lud-wig Fahrmeir and Alexander Yassouridis)Joint Statistical MeetingSalt Lake City, 29.7. – 2.8.2007

33. A Unifying Perspective on Smoothing, Mixed Models and Correlated Data (withStefan Lang)Determinants of Gender Bias in Survival and Health Access in South AsiaGottingen, 19. – 20.7.2007

34. Bayesian Semiparametric Multi-State ModelsMunchner Zentrum fur Gesundheitswissenschaften (MC-Health)Munchen, 6.3.2007

35. BayesX: Bayesianische Inferenz in strukturiert additiven RegressionsmodellenMarkov Chain Monte Carlo - Methoden und AnwendungenMainz, 1.12.2006

3 Talks & Posters 15

36. Empirical Bayes Inference in Structured Hazard RegressionDepartment of Mathematical Sciences, Norwegian University of Science and Tech-nologyTrondheim, 20.11.2006

37. A Unifying Bayesian Perspective on Structured Additive Regression and MixedModelsInstitut fur Statistik, Leopold-Franzens-Universitat InnsbruckInnsbruck, 7.11.2006

38. Bayesian Semiparametric Multi-State ModelsStatistical Modelling of Complex SystemsMunchen, 12. – 14.10.2006

39. Bayesian Structured Hazard RegressionBayesian Inference in Complex Stochastic SystemsWarwick, 28. – 30.5.2006

40. Mixed Model Based Inference for Complex Regression DataKolloquium zur quantitativen Wirtschaftspolitik, Statistik und OkonometrieBielefeld, 24.04.2006

41. Modelling Geoadditive Survival DataSpatial and Spatio-Temporal SystemsTechnische Universitat Munchen, 22.11.2004

42. Fast Statistical Computing Based on Sparse Symmetric Matrices Workshop on theInterface of Numerical Analysis, Optimization and Stochastics with Emphasis onStatistical and Financial ApplicationsTechnische Universitat Munchen, 13. – 14.11.2003

Invited Talks (Co-author, selected)

43. Simultaneous Confidence Bands for Penalised Splines (with Tatyana Krivobokovaand Gerda Claeskens, presented by Tatyana Krivobokova)Inaugural Conference of the Courant Research Centre ‘Poverty, Equity and Growth’Gottingen, 1. – 4.7.2009

44. Bayesian Smoothness and Shrinkage Priors in Regression (presented by LudwigFahrmeir)International Workshop on Flexible Modelling: Smoothing and RobustnessKatholieke Universiteit Leuven, 12. – 14.11.2008

45. Bayesian Smoothness and Shrinkage Priors in Regression (presented by LudwigFahrmeir)Joint Statistical MeetingsDenver, 3. – 7.8.2008

16 3 Talks & Posters

46. Modelling Complex Environmental Spatial and Temporal Data (presented by StefanLang)Department of Mathematical Sciences, University of BathBath, 20. – 22.6.2007

47. Structured Additive Regression (presented by Ludwig Fahrmeir)Statistik unter einem Dach - Erste gemeinsame Tagung der Deutschen Arbeitsge-meinschaft StatistikBielefeld, 27. – 30.3.2007

48. Geoadditive Hazard Models (with Ludwig Fahrmeir and Andrea Hennerfeind, pre-sented by Ludwig Fahrmeir)Statistical Analysis of complex event history dataOslo, 31.8. – 2.9.2005

49. Structured Hazard Regression (with Ludwig Fahrmeir and Andrea Hennerfeind,presented by Ludwig Fahrmeir)Statistical Computing 2005Schloss Reisensburg, Gunzburg, 3.7. – 6.7.2005

Contributed Talks

1. Bayesian Geoadditive Sample Selection Models (mit Manuel Wiesenfarth)Osterreichische Statistiktage 2010Wien, 19.-22.10.2010

2. On the Behavior of Marginal and Conditional Akaike Information Criteria in LinearMixed Models (with Sonja Greven)2. gemeinsame Arbeitstagung der Deutschen Arbeitsgemeinschaft Statistik (DAG-Stat 2010)Dortmund, 23. – 26.3.2010

3. On the Behavior of Marginal and Conditional Akaike Information Criteria in LinearMixed Models (with Sonja Greven)Arbeitstagung der Arbeitsgruppen Bayes-Methodik, Raumliche Statistik und Oko-logie und Umwelt der Biometrischen GesellschaftLubeck, 3. – 5.12.2009

4. Semiparametric Multi-State Models30th Annual Conference of the International Society for Clinical BiostatisticsPrague, 23. – 27.8.2009

5. Additive Quantile Regression for the Analysis of Childhood Malnutrition (with NoraFenske and Torsten Hothorn)Inaugural Conference of the Courant Research Centre ‘Poverty, Equity and Growth’Gottingen, 1. – 4.7.2009

6. mboost - Componentwise Boosting for Generalised Regression ModelsuseR - The R User Conference 2008Dortmund, 12. – 14.8.2008

3 Talks & Posters 17

7. Boosting Geoadditive Regression ModelsXXIVth International Biometric ConferenceDublin, 13. – 18.7.2008

8. BayesX – Software for Bayesian Inference in Structured Additive RegressionStatistical Computing 2007Schloss Reisensburg, Gunzburg, 1. – 4.7.2007

9. Semiparametric Multinomial Logit Models for the Analysis of Brand Choice Beha-viour (with Bernhard Baumgartner and Winfried Steiner)Statistik unter einem Dach - Erste gemeinsame Tagung der Deutschen Arbeitsge-meinschaft StatistikBielefeld, 27. – 30.3.2007

10. A Nonparametric Multi-State Model for the Analysis of Human Sleep21st International Workshop on Statistical ModellingGalway, 3. – 7.07.2006

11. Spatially Correlated Categorical Time Series: A Case Study in Forest Health30. Jahrestagung der Deutschen Gesellschaft fur Klassifikation (GfKl)Berlin, 8. – 10.3.2006

12. Analysing Geoadditive Regression Data: a Mixed Model ApproachArbeitstagung der Arbeitsgruppen Bayes-Methodik, Raumliche Statistik und Oko-logie und Umwelt der Biometrischen GesellschaftHannover, 24. – 25.11.2005

13. A Mixed Model Approach for Structured Hazard Regression with Interval CensoredSurvival Times3rd World Conference on Computational Statistics and Data AnalysisLimassol, 28. – 31.10.2005

14. Geoadditive Hazard Regression for Interval Censored Survival Times25th European Meeting of StatisticiansOslo, 24. – 28.7.2005

15. Gemischte Modelle zur Schatzung geoadditiver RegressionsmodellePfingsttagung der Deutschen Statistischen GesellschaftMunster, 19. – 20.05.2005

16. A General Mixed Model Approach for Spatio-Temporal Regression DataSeminaire Europeen de Statistique 2004: Statistics of Spatio-Temporal SystemsBernried, 12. – 18.12.2004

17. A Mixed Model Approach for Geoadditive Hazard RegressionErweiterte Methoden fur Uberlebenszeiten, Statistische Methoden in Epidemiologieund MedizinHalle, 18. – 19.11.2004

18. Structured Additive Regression for Multicategorical Space-Time Data: A MixedModel Approach19th International Workshop on Statistical Modelling.Florence, 4. – 8.07.2004

18 3 Talks & Posters

19. Penalized Structured Additive Regression for Multicategorical Space-Time DataJoint Meeting of the German Region of the International Biometric Society and theGerman Association of EpidemiologyHeidelberg, 16. – 19.03.2004

Contributed Talks (Co-author, selected)

20. Geoadditive Expectile Regression (presented by Fabian Sobotka)2. gemeinsame Arbeitstagung der Deutschen Arbeitsgemeinschaft Statistik (DAG-Stat 2010)Dortmund, 23. – 26.3.2010

21. Multilevel Structured Additive Regression (with Stefan Lang, Nikolaus Umlauf andPeter Wechselberger, presented by Stefan Lang)2. gemeinsame Arbeitstagung der Deutschen Arbeitsgemeinschaft Statistik (DAG-Stat 2010)Dortmund, 23. – 26.3.2010

22. Additive mixed models with Dirichlet process mixture and P-Spline priors (withFelix Heinzl and Ludwig Fahrmeir, presented by Felix Heinzl)2. gemeinsame Arbeitstagung der Deutschen Arbeitsgemeinschaft Statistik (DAG-Stat 2010)Dortmund, 23. – 26.3.2010

23. Bayesian Variable Selection and Model Choice for Generalized Additive Modelsusing Normal-Inverse-Gamma Spike-and-Slab Priors (with Fabian Scheipl and Lud-wig Fahrmeir, presented by Fabian Scheipl)2. gemeinsame Arbeitstagung der Deutschen Arbeitsgemeinschaft Statistik (DAG-Stat 2010)Dortmund, 23. – 26.3.2010

24. Model-Based Boosting: Unbiased Variable Selection and Model Choice (with Benja-min Hofner, Torsten Hothorn and Matthias Schmid, presented by Benjamin Hofner)2. gemeinsame Arbeitstagung der Deutschen Arbeitsgemeinschaft Statistik (DAG-Stat 2010)Dortmund, 23. – 26.3.2010

25. Marginal and Conditional Akaike Information Criteria in Linear Mixed Models (pre-sented by Sonja Greven)24th International Workshop on Statistical ModellingIthaca, 20. – 24.8.2009

26. On the Behavior of Marginal and Conditional Akaike Information Criteria in LinearMixed Models (presented by Sonja Greven)Joint Statistical Meetings 2009Washington DC, 1. – 6.8.2009

3 Talks & Posters 19

27. Variable Selection and Model Choice in Survival Models with Time-Varying Effects(with Benjamin Hofner and Torsten Hothorn, presented by Benjamin Hofner)useR - The R User Conference 2008Dortmund, 12. – 14.8.2008

28. Time-Varying Parameters in Brand Choice Models (with Bernhard Baumgartnerand Winfried Steiner, presented by Winfried Steiner)32nd Annual Conference of the German Classification Society (GfKl)Hamburg, 16. – 18.6.2008

29. Model Choice in Cox-Type Additive Hazard Regression Models with Time-VaryingEffects (with Benjamin Hofner, Wolfgang Hartl and Helmut Kuchenhoff, presentedby Benjamin Hofner)Statistics and Life Sciences: Perspectives and ChallengesMunchen, 10. – 13.3.2008

30. Nonlinear Time-Varying Effects in Brand Choice Behavior (with Bernhard Baum-gartner and Winfried Steiner, presented by Bernhard Baumgartner)Third German French Austrian Conference on Quantitative MarketingParis, 21 – 22.9.2007

31. Structured Additive Regression: a Unifying Perspective on Smoothing, Spatial Sta-tistics, and Mixed Models (with Stefan Lang and Christiane Belitz, presented byStefan Lang)Computational and Financial EconometricsGenf, 20. – 22.4.2007

Poster

1. Functional Regression for Analysing Sleep Data (with Cornelia Oberhauser, AxelSteiger, Ludwig Fahrmeir and Alexander Yassouridis)Symposium des Max-Planck-Instituts fur PsychiatrieMunchen, 20.7.2007

2. Analysing Hormonal Effects on Human Sleep by Time-Dependent Regression Modelswith Multicategorical Response Variables (with Stefanie Kalus, Axel Steiger, LudwigFahrmeir and Alexander Yassouridis)Symposium des Max-Planck-Instituts fur PsychiatrieMunchen, 20.7.2007

3. BayesX: Analysing Bayesian Structured Additive Regression ModelsBayesian Inference in Complex Stochastic SystemsWarwick, 28. – 30.5.2006

4. Structured Additive Regression for Space-Time Data: A Mixed Model Approach.Statistical Modelling of Discrete Structures in Economics: Methods and Applicati-ons.Munchen, 30.6. – 2.7.2003

20 4 Research

4 Research

Third-Party Funding

Principal Investigator

• German Science Foundation (DFG) Research Project “Structured Additive Quantileund Expectile Regression”

– Funding period: Juni 2010 – Mai 2013

– Head: Thomas Kneib

– Staff: Fabian Sobotka, N. N.

– Amount of funding: 2 × 50% TV-L E13 appointments

• Vorlaufforschungsprojekt “Konzepte und Methoden der Versorgungsplanung”

– Funded by OFFIS - Institut fur Informatik

– Principal Investigators: Thomas Kneib, Hans-Jurgen Appelrath, WIlfried Tho-ben, Martin Rohde

– Funding period: 1.8.2011 - 31.7.2014

– Amount of funding: 1 TV-L E13 appointments

• German Science Foundation (DFG) Research Project “Bayesian Regularisation forRegression Models with High-Dimensional Predictors”

– First funding period: April 2007 – Juli 2009

– Second funding period: August 2009 – Juli 2011

– Heads: Ludwig Fahrmeir, Thomas Kneib

– Staff: Susanne Konrath, Fabian Scheipl

– Amount of funding: 2 × 50% BAT IIa appointments

• Funding from the Ministry of Science and Education of Lower Saxonia

– Acquisition of a server for high-performance computing

– Funding from the Research and Appointment Pool

– Amount of funding: ca. 12.200 Euro.

Contributing Investigator

• DFG research project “Entwicklung und Untersuchung der statistischen Eigenschaf-ten eines Walkability-Index zur Erfassung der Bewegungsmoglichkeiten in der Le-bensumwelt von Kindern”

4 Research 21

Principal Investigators: Iris Pigeot, Christoph Buck (Bremer Institut fur Praventi-onsforschung und Sozialmedizin)Funding period: 1.12.2010-30.11.2013

• Building up a Biostatistics national network (BioStatNet)Funded by the Spanish Ministry of Science and InnovationPrincipal Investigator: Carmen Cadarso Suarez

• Generalized Additive Modelling in Studies of Association, Prediction and Classifi-cation. Applications in Medicine and BiologyFunded by the Spanish Ministry of Science and InnovationPrincipal Investigator: Carmen Cadarso-SuarezFunding period: 1.1.2009 – 31.12.2011

• Entwicklung eines Solvency II-kompatiblen Risikomanagementsystems fur kleineVersicherungsvereine auf GegenseitigkeitFunded by the European Regional Development FundPrincipal Investigators: Dietmar Pfeifer, Angelika MayFunding period: 1.1.2009 – 31.12.2010

PhD Students

Supervision of PhD-Theses

• Julia Furche: Statistical Learning Procedures for the Classification of Spike Trains(2010–)

• Fabian Sobotka: Semiparametric Expectile and Quantile Regression (2009–)

• Elisabeth Waldmann: Structured Additive Quantile Regression (2010–)

• As a part of the research project on Bayesian Regularisation, I am supervising thePhD-theses by Susanne Konrath and Fabian Scheipl (jointly with Ludwig Fahrmeir).

Membership in PhD-Committees

• Benjamin Hofner: Boosting structured additive regression models (Ludwig-Maximi-lians-University Munich, Supervisor Torsten Hothorn)

• Nora Fenske: Structured additive quantile regression with applications to mode-ling malnutrition and obesity of children (Ludwig-Maximilians-University Munich,Supervisor Ludwig Fahrmeir)

• Thomas Mestekemper: Functional Models for Temporally Structured Data (Univer-sity of Bielefeld, Supervisor Goran Kauermann)

• Marıa Xose Rodrıguez-Alvarez: Flexible ROC Regression (Universidade de Santiagode Compostela, Supervisor Carmen Cadarso-Suarez)

22 4 Research

• Christina Schafer: Applying Nonlinear Regression Models and Least Trimmed Squa-res for the Optimisation of Steel Wheels (Carl von Ossietzky University Oldenburg,Supervisor Christine Muller)

Collaborations (selected)

• Akaike Information Criteria in Mixed Modelswith Sonja Greven (University of Munich)

• Structured Additive Multilevel Modelswith Stefan Lang (Universitat Innsbruck)

• Geoadditive Analysis of the Determinants of Gender Bias in Mortality in Indiawith Jan Priebe and Stephan Klasen(Georg-August-University Gottingen)

• Geoadditive Sample Selection Modelswith Manuel Wiesenfarth (Georg-August-Universitat Gottingen)

• Semiparametric Discrete Choice Models for the Analysis of Consumer Choice Be-haviourwith Bernhard Baumgartner (University of Osnabruck) andWinfried Steiner (Claus-thal University of Technology)

• Simultaneous Confidence Bands for Penalised Splineswith Tatyana Krivobokova (Georg-August-Universitat Gottingen) and Gerda Claes-kens (Katholieke Universiteit Leuven)

• Semiparametric Multi-State Modelswith Carmen Cadarso-Suarez (Universidade de Santiago de Compostela) and LuisMeira-Machado (Universidade do Minho)

• Semiparametric ROC-Regressionwith Carmen Cadarso-Suarez and Marıa Xose Rodrıguez-Alvarez (Universidade deSantiago de Compostela)

• Measurement Error in Continuous Time Survival Modelswith Ciprian Crainiceanu (Johns Hopkins University Baltimore)

• Modelling Habitat Preferenceswith Felix Knauer (Albert-Ludwigs-University Freiburg) and Helmut Kuchenhoff(LMU Munich)

• Spatial Smoothing Techniques for the Evaluation of Habitat Suitabilitywith Jorg Muller (Nationalparkverwaltung Bayerischer Wald) and Torsten Hothorn(LMU Munich)

• Measurement Error in Semiparametric Regression Models with Varying Coefficientswith Susanne Breitner (Helmholtz Zentrum Munchen, German Research Center forEnvironmental Health, Neuherberg)

• Flexible Semiparametric Regression for the Analysis of Human Sleepwith Alexander Yassouridis (Max-Planck-Institute for Psychiatry, Munich)

4 Research 23

• Semiparametric Multi-State Modelswith Jan Beyersmann and Martin Schumacher (Albert-Ludwigs-Universitat Frei-burg)

Memberships

• Deutscher Hochschulverband

• German Statistical Society

• International Biometric Society

– Working group on Spatial Statistics

– Working group on Bayes Methods

• OFFIS Institute for Information Technology

• Statistical Modelling Society

Refereeing Service

Research Organisations

• BBSRC (Biotechnology and Biological Sciences Research Council)

• EPSRC (Engineering and Physical Sciences Research Council)

• German Classification Society

• German Region of the International Biometric Society

• Research Council of Norway

Conferences

• AISTATS 2010 (Thirteenth International Conference on Artificial Intelligence andStatistics)

• DagStat 2010 (2nd joint Statistical Meeting Deutschen Arbeitsgemeinschaft Statis-tik)

• IWSM 2011 (26th International Workshop on Statistical Modelling)

Journals

• Annals of the Association of American Geographers

• Applied Statistics (JRSS C)

• AStA Advances in Statistical Analysis

24 4 Research

• Bayesian Analysis

• Biometrical Journal

• Biometrics

• Biostatistics

• BMC Bioinformatics

• Brazilian Journal of Probability and Statistics

• Canadian Journal of Forest Research

• Canadian Journal of Statistics

• Computational Statistics

• Computational Statistics and Data Analysis

• Demographic Research

• Economics & Human Biology

• Environmetrics

• Estuarine, Coastal and Shelf Science

• European Journal of Forest Research

• IEEE Transactions on Signal Processing

• International Journal of Biostatistics

• Journal of Agricultural, Biological, and Environmental Statistics

• Journal of Applied Statistics

• Journal of Multivariate Analysis

• Journal of Statistical Software

• Journal of the American Statistical Association

• Limnology and Oceanography: Methods

• Mathematical Reviews

• Neural Computing & Applications

• Public Library of Science (PLoS) One

• R News

• Science of the Total Environment

• Scientia Marina

• Sleep

• Statistical Modelling

• Statistical Papers

4 Research 25

• Statistical Science

• Statistics and Computing

• Statistics and Operations Research Transactions

• Statistics in Medicine

• TEST

• Zeitschrift fur betriebswirtschaftliche Forschung

Publisher

• Chapman & Hall / CRC Press

• Springer

Editorial Duties

• Associate Editor of AStA Advances in Statistical Analysis (2009–)

• Associate Editor of Biometrical Journal (2008 – )

• Associate Editor of Statistical Modelling (2007 – )

• Co-Editor (with Thomas Petzoldt, Dresden University of Technology) of the Spe-cial Volume “Ecology and Ecological Modelling in R” of the Journal of StatisticalSoftware

Conferences

Scientific Programme Committee:

• 26th International Workshop on Statistical ModellingUniversitat de Valencia, 10.-15.7.2011

Organisation of Sessions:

• Invited Session “Spatial Statistics”Statistical Week 2011Vienna

• Session “Regression Models”Deutsche Arbeitsgemeinschaft StatistikDortmund, 23. – 26.3.2010

26 4 Research

• Invited Session “Bayesian Regularisation Priors”55. Biometrical ColloquiumHannover, 17. – 19.3.2009

• Minisymposium “Extended Regression Modelling”Statistical Week 2008Koln, 15. – 18.9.2008

Local Organisation:

• Statistical Modelling of Complex SystemsCollaborative Research Center 386 WorkshopMunchen, 12. – 14.10.2006

• Model Choice and ValidationCollaborative Research Center 386 WorkshopMunchen, 6. – 8.10.2005

• Seminaire Europeen de Statistique 2004: Statistics of Spatio-Temporal SystemsEuropean Mathematical Society Summer SchoolBernried, 12. – 18.12.2004

Session Chairs:

• XXVth International Biometric Conference 2010Florianapolis, 5.-10.12.2010

• Osterreichische StatistiktageWien, 19. – 22.10.2010

• 28th European Meeting of StatisticiansPiraeus, 17.-22.8.2010

• 2. gemeinsame Arbeitstagung der Deutschen Arbeitsgemeinschaft Statistik (DAG-Stat 2010)Dortmund, 23. – 26.3.2010

• Inaugural Conference of the Courant Research Centre ‘Poverty, Equity and Growth’Gottingen, 1. – 4.7.2009

• 55. Biometrical ColloquiumHannover, 17. – 19.3.2009

• useR - The R User Conference 2008Dortmund, 12. – 14.8.2008

• Statistics and Life Sciences: Perspectives and ChallengesMunchen, 10. – 13.3.2008

• 18th Annual Meeting of the International Environmetrics SocietyMikulov, 16. – 20.8.2007

4 Research 27

• Statistik unter einem Dach - Erste gemeinsame Tagung der Deutschen Arbeitsge-meinschaft StatistikBielefeld, 27. – 30.3.2007

• 30. Jahrestagung der Deutschen Gesellschaft fur Klassifikation (GfKl)Berlin, 8. – 10.3.2006

28 5 Software

5 Software

BayesX

BayesX is a stand-alone software implemented in C++ and Java that provides functiona-lity for estimating structured additive regression models in a variety of situations. Jointlywith Andreas Brezger, Christiane Belitz and Stefan Lang, I am one of the main developersof BayesX. Seven further colleagues have contributed to the BayesX project.

In the current release, the main capabilities of BayesX are as follows:

• Command-line based execution of commands in a syntax that is closely related tothe one of Stata.

• Functions for manipulating data and for descriptive analyses.

• Functions for handling and manipulating geographical information and spatial data.

• Functions for visualizing data and estimation results, in particular for drawing andcolouring geographical maps.

• Estimation of structured additive regression models based on mixed model methodo-logy (remlreg objects) or Markov chain Monte Carlo simulations (bayesreg objects).BayesX supports univariate exponential family regression, multicategorical respon-ses, continuous time survival time regression and multi-state models.

• A similar class of models can be estimated based on stepwise procedures (stepwiseregobjects).

• Estimation of graphical models based on directed acyclic graphs (DAGs).

My responsibilities in the development of BayesX so far have been:

• The implementation of all mixed model based inferential procedures.

• The implementation of some MCMC-based extensions.

• The implementation of a matrix class for sparse matrix computations and efficientrandom number generation.

• The implementation of the graphical user interface.

In the future, a connection to R will be considered to ensure better perception of thesoftware in the statistical community. A first step towards this goal is the R-packageBayesX that provides functionality for visualising estimation results and for manipulatinggeographical information.

BayesX is available free of charge from http://www.stat.uni-muenchen.de/~bayesx/.

R-package mboost

As an add-on package to the statistical software R, mboost implements boosting ap-proaches for variable selection and model choice. In collaboration with Torsten Hothorn

5 Software 29

(LMU Munich), Benjamin Hofner and Matthias Schmid (Friedrich-Alexander-UniversitatErlangen-Nurnberg), generic Boosting algorithms for structured additive regression mo-dels have been developed based on penalised least squares baselearners. As a consequence,a similar class of models can be treated as with BayesX

An up-to-date development version is available from http://r-forge.r-project.org/,the current official release is available from the comprehensive R archive network (http://cran.r-project.org).

Additional R-packages

In addition to the software projects described so far, I am involved in the development ofa number of further R-packages. These are only partially available from CRAN.

• BayesX: This package provides funtionality for visualising estimation results obtai-ned with BayesX and for manipulating geographical information.

• cAIC: As a supplement to Greven & Kneib (2009): On the Behavior of Marginaland Conditional Akaike Information Criteria in Linear Mixed Models, this packageimplements the corrected conditional AIC for linear mixed models.

• ConfBands: This package provides different types of simultaneous confidence bandsfor semiparametric regression models and is a supplement to Krivobokova, Kneib &Claeskens (2009): Simultaneous Confidence Bands for Penalized Spline Estimators.

• expectreg: This package collects functionality for estimating semiparametric expec-tile regression models. It is developed as a part of Fabian Sobotka‘s PhD thesis.

30 6 Teaching

6 Teaching

Lectures

• Regression / Linear Models3 semester hours, winter term 2010/11Carl von Ossietzky University Oldenburg

• Statistics 1: Introduction to Applied Statistics3 semester hours, winter term 2010/11Carl von Ossietzky University Oldenburg

• Generalised Regression3 semester hours, summer term 2010Carl von Ossietzky University Oldenburg

• Mathematical Foundations of Applied Statistics3 semester hours, summer term 2010Carl von Ossietzky University Oldenburg

• Stochastics3 semester hours, winter term 2009/10Carl von Ossietzky University Oldenburg

• Spatial Statistics3 semester hours, winter term 2009/10Carl von Ossietzky University Oldenburg

• Regression3 semester hours, summer term 2009Carl von Ossietzky University Oldenburg

• Mathematical Foundations of Applied Statistics3 semester hours, summer term 2009Carl von Ossietzky University Oldenburg

• Statistics3 semester hours, winter term 2008/09Georg-August-University Gottingen

• Time Series Analysis2 semester hours, winter term 2008/09Georg-August-University Gottingen

• Statistics 2 for Social Science Students4 semester hours, summer term 2008Ludwig-Maximilians-University Munich

• Statistics 1 for Social Science Students4 semester hours, winter term 2007/08Ludwig-Maximilians-University Munich

6 Teaching 31

• Risk Theory4 semester hours, summer term 2007University of Ulm

• Analysis of Survival and Event History Data2 semester hours, summer term 2007University of Ulm

• Statistics 1 for Social Science Students2 semester hours, winter trimester 2007Bundeswehr University Munich

• Stochastic Processes4 semester hours, summer term 2006Ludwig-Maximilians-University Munich

Courses

• Tutorial Spatial StatisticsStatistical Week 2011 (100 Years DStatG)Leipzig, 19. – 23.9.2011

• Spatial StatisticsMunich R CoursesLudwig-Maximilians-University Munich, 14. – 15.10.2010

• Exploratory Data Analysis and Semiparametric RegressionSummer School Modern Computational ScienceOldenburg, 9. – 20.8.2009

• Generalised RegressionMunich R CoursesLudwig-Maximilians-University Munich, 29. – 30.4.2010

• Spatial StatisticsMunich R CoursesLudwig-Maximilians-University Munich, 25. – 26.2.2010

• Geoadditive Regression and Penalised Spline SmoothingDepartment of Statistics and Operations Research, University of Santiago de Com-postelaSantiago de Compostela, 9.–11.2.2010

• Exploratory Data AnalysisSummer School Modern Computational ScienceOldenburg, 17. – 28.8.2009

• Penalised Spline Smoothing and Geoadditive RegressionInternational Workshop on Flexible Modelling: Smoothing and RobustnessKatholieke Universiteit Leuven, 12. – 14.11.2008

32 6 Teaching

• Tutorial Boosting for Generalised Regression Models (with Torsten Hothorn)Statistical Computing 2008Reisensburg, Gunzburg, 1. – 4.6.2008

• Generalised Regression with RMunich R CoursesLudwig-Maximilians-University Munich, 24. – 25.4.2008

• Tutorial Geoadditive RegressionStatistics and Life Sciences: Perspectives and Challenges (54th Biometrical Collo-quium)Ludwig-Maximilians-University Munich, 10.4.2008

• Modelling Geoadditive Regression DataLecture series for the Interdisciplinary PhD Program “Applied Statistics & Empi-rical Methods”Georg-August-University Gottingen (18. – 28. September 2006)

• Regression Models with Random EffectsShort Course for forest scientists from the Munich University of Technology12.5. and 21.7.2006

Seminars

• Advanced Seminar in Statistics2 semester hours, summer term 2010Carl von Ossietzky Universitat Oldenburg

• Graduate Seminar in Applied Statistics2 semester hours, winter term 2008/09Georg-August-University Gottingen

• Bayesian Regularisation2 semester hours, summer term 2008, with Ludwig Fahrmeir, Susanne Konrath andFabian ScheiplLudwig-Maximilians-University Munich

• Statistical Methods for Gene Expression and Proteomics2 semester hours, winter term 2007/08, with Ludwig Fahrmeir and Ulrich MansmannLudwig-Maximilians-University Munich

• Spatial Statistics and Imaging2 semester hours, winter term 2005/06, with Ludwig Fahrmeir and Susanne HeimLudwig-Maximilians-University Munich

• Regression Models with Random Effects2 semester hours, summer term 2005, with Ludwig FahrmeirLudwig-Maximilians-University Munich

6 Teaching 33

Exercise Classes

• Mathematical Foundations of Applied Statistics1 semester hour, summer term 2010Carl von Ossietzky University Oldenburg

• Generalised Regression1 semester hour, summer term 2010Carl von Ossietzky University Oldenburg

• Spatial Statistics1 semester hour, winter term 2009/10Carl von Ossietzky University Oldenburg

• Regression1 semester hour, summer term 2009Carl von Ossietzky University Oldenburg

• Risk Theory2 semester hours, summer term 2007University of Ulm

• Analysis of Survival and Event History Data1 semester hour, summer term 2007University of Ulm

• Spatial Statistics2 semester hours, winter term 2005/06Ludwig-Maximilians-University Munich

• Stochastic Processes2 semester hours, summer term 2005Ludwig-Maximilians-University Munich

• Analysis of Survival and Event History Data2 semester hours, winter term 2004/05Ludwig-Maximilians-University Munich

• Stochastic Processes2 semester hours, summer term 2004Ludwig-Maximilians-University Munich

• Applied Stochastic Processes2 semester hours, winter term 2003/04Ludwig-Maximilians-University Munich

• Stochastics for Bioinformatics Students2 semester hours, summer term 2003Ludwig-Maximilians-University Munich

34 6 Teaching

Miscellaneous

• Contribution to Statistical ConsultingWinter term 2004/05, summer term 2005, and summer term 2008Ludwig-Maximilians-University Munich

Supervision of Bachelor Theses

Current Theses

• Matthias Meyer: Okonomische Auswirkungen von Uberdiagnosen am Beispiel desPSA-Fruherkennungstests

• Maike Tahden: Statistical Models for Neuronal Activity Using the Example ofChange Blindness

• Carolin Kurzmann: Expectile Data Depth

Supervision of Diploma / Master Theses

Current Theses

• Jona Cederbaum: Konditionale Akaike Informations-Kriterien in generalisierten li-nearen gemischten Modellen

• Heidelinde Roder: Raumliche Punkt-Prozesse zur Analyse von Habitaten

Completed Theses

2010:

• Elisabeth Waldmann: Bayesianische Additive Quantilregression

• Julia Furche: Kategoriale Regressionsmodelle zur Analyse neuronaler Daten

• Daniela Rieck: Mehrfaktorielle nicht-parametrische Varianzanalyse kosmetischer Wirk-samkeitsstudien

• Britta Schmedt: Fahlzahlprognosen fur den Gesundheitsmarkt

• Lena Kopcke: Bayesianische Stimulus-Rekonstruktion fur neuronale Daten

2009:

• Julian Stecher: Modellwahl und Diagnose von Bayesianischen Regressionsmodellen

• Tonia Ludwig: Hazardraten-Modelle zur Analyse von Schlafdaten

• Stefan Cieczynski: Bayesianische Quantilregression

• Felix Heinzl: Nichtparametrische Bayes-Inferenz in additiven gemischten Modellen

6 Teaching 35

• Monia Mahling: Approximative Bayes-Inferenz in geoadditiven Regressionsmodellen

2008:

• Christian Seiler: Bayesian latent variable models: Statistical methods and empiricalanalyses

• Manuel Wiesenfarth: Bayesian semiparametric sample selection models with an ap-plication to relief supply in earthquake-affected communities in Pakistan

• Denise Guthlin: Habitat selection: Recent methods and applications

• Benjamin Hofner: Variable selection and model choice in survival time regressionmodels with time-varying effects

• Birgit Schrodle: Multi-state models for interval censored event history data: Ananalysis of multiple sclerosis progression

• Daniela Birkel: Bayesian claim reserving

• Sebastian Spitzbarth: Semiparametric models for the analysis of claims expenditureswith an application to car insurance

2007:

• Stjepan Vuletic: Bayesian inference for interval censored multi-state models

• Susanne Konrath: Bayesian regularisation with applications

• Cornelia Oberhauser: Functional regression for the analysis of sleep data

• Markus Breitenacher: Bayesian regression in WinBUGS and BayesX: A comparison

• Marco Eschrich: Identification of semiparametric regression models for correlateddata

2006:

• Sven Steinert: Semiparametric latent variable models

• Frank Sagerer: Geoadditive models in car insurance (in cooperation with Versiche-rungskammer Bayern)

• Ulrike Naumann: Bayesian model choice in semiparametric regression models

• Michael Kobl: Geoadditive Accelerated Failure Time Modelle

• Susanne Stampf: Bayesian structured additive regression: Estimation of smoothingparameters

2005:

• Birgit Thomae: Anisotropic spatial models

• Rudi Eichholz: Geoadditive regression for modelling and analysing childhood mor-tality in developing countries

• Manuela Hummel: Bayes inference in regression models with spatial effects

36 7 University Self-Administration

7 University Self-Administration

• Member of the working groups “bachelor and master programme in mathematics”,“web presence” and “advertising” at the Department of Mathematics, Carl vonOssietzky University Oldenburg (since 2009)

• Responsible for the “Statistics” part of the Masters program in Environmental Mo-deling, Carl von Ossietzky University Oldenburg (since 2009)

• Staff representative at the Department of Statistics, LMU Munich(2008 – 2009)

• Staff representative at the Faculty of Mathematics, Informatics and Statistics, LMUMunich (2006 – 2007)

• Staff representative at the Collaborative Research (SFB) Center 386 “StatisticalAnalysis of Discrete Structures”, LMU Munich (2003 – 2006)

• Staff representative in the appointment committee for a W3-professorship in Bio-statistics, Department of Statistics, LMU Munich (2007)

• Staff representative in the commission for the development of examination regula-tions for bachelor and master courses in statistics, Department of Statistics, LMUMunich (2006 – 2007)