the bayesian songbook (heavily dependent on prior results)

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Page 1: The Bayesian Songbook (heavily dependent on prior results)
Page 2: The Bayesian Songbook (heavily dependent on prior results)

The Bayesian Songbook

(heavily dependent on prior results)

Page 3: The Bayesian Songbook (heavily dependent on prior results)

YYMMCCAA

Page 4: The Bayesian Songbook (heavily dependent on prior results)

II SSBBAAWakefield et al (2000)

Page 5: The Bayesian Songbook (heavily dependent on prior results)

featuring

YouSexyThing

by Hot Chocolate

Page 6: The Bayesian Songbook (heavily dependent on prior results)

… you need to believe in miracles!

Page 7: The Bayesian Songbook (heavily dependent on prior results)

There's no theorem like Bayes' theorem

Like no theorem I know

Everything about it is appealingEverything about it is a wow!

Let out all that a priori feeling- that you've been afraid of up to now!

Thinking Outside The (George) Box

Page 8: The Bayesian Songbook (heavily dependent on prior results)

The Frequentist Songbook?

FISHER PEARSON KOLMOGOROVSir Ronald Aylmer Egon Sharpe Andrei Nikolaevich

1890-1962 1895-1980 1907-1987

Page 9: The Bayesian Songbook (heavily dependent on prior results)

There's no theorem like… Bayes' theorem

Thinking Outside The (George) Box

A GLIVENKO-CANTELLI THEOREM AND STRONG

LAWS OF LARGE NUMBERS FOR FUNCTIONS OF ORDER

STATISTICS

BY JON A. WELLNER

Page 10: The Bayesian Songbook (heavily dependent on prior results)

The Empirical Bayes Songbook! ‘My Way’

Page 11: The Bayesian Songbook (heavily dependent on prior results)

IMSIMS??

ISIISI??

Efron et al (200?)

Page 12: The Bayesian Songbook (heavily dependent on prior results)

Theorem 1.1The result holds only for a four-letter acronym

YMCAYMCA //

ISBAISBA

Corollary 1.2Empirical Bayes methods do not guarantee coherence

Page 13: The Bayesian Songbook (heavily dependent on prior results)

“O(n)-computable kernel density estimate”

“Let’s call the

whole thing f( )”

“approx non-parametric Bayesian posterior”

Page 14: The Bayesian Songbook (heavily dependent on prior results)

1. Put the data IN2. Get a prior OUT

…wave your hands about?

3. Put the data back

IN!OUT!

IN!OUT!

Page 15: The Bayesian Songbook (heavily dependent on prior results)

Empirical Bayes Analysis of 1-1 matching (in hippos)

Ken Rice1,2, Thomas Lumley1,3,

1. University of Washington, Department of Biostatistics

2. Seattle Symphony Chorale

3. Seattle Choral Companyfeaturing a special tribute to Kolmogorov

*

*

Page 16: The Bayesian Songbook (heavily dependent on prior results)

Hippos (overview)

1. Background, definitions2. Review of 1-1 matching, gender-

specific effects, parent-of-origin effects

3. Acknowledgement of (Russian) priority

4. Your input, comments, …scope for further improvement?

Page 17: The Bayesian Songbook (heavily dependent on prior results)

Hippopotamus (male,bold)

Page 18: The Bayesian Songbook (heavily dependent on prior results)

Shalimar (cool, wide)

Page 19: The Bayesian Songbook (heavily dependent on prior results)

Shalimar (cool, wide)

Page 20: The Bayesian Songbook (heavily dependent on prior results)

HippopotamA (female, fair)

Page 21: The Bayesian Songbook (heavily dependent on prior results)

HippopotamUS (non-ignoramus)

Page 22: The Bayesian Songbook (heavily dependent on prior results)

Mud (key points)

1. Glory

2. Temperature control

3. Attraction

4. Stress relief

Page 23: The Bayesian Songbook (heavily dependent on prior results)

HippopotamA (fair, uni-parented)

Page 24: The Bayesian Songbook (heavily dependent on prior results)

HippopotamA (fair, uni-parented)

Page 25: The Bayesian Songbook (heavily dependent on prior results)

Колмогоров-Смирнов

Page 26: The Bayesian Songbook (heavily dependent on prior results)

MudГразь, гразь, чудная гразь!

Пучшее средство как кожная мазь

Так возьми ж свою даму и поведи ее в яму

И там мы окунемся в чудную гразь!

1. Glory

2. Temperature control

3. Attraction

4. Stress relief

Page 27: The Bayesian Songbook (heavily dependent on prior results)

HippopotamAE (plural, sublime)

Page 28: The Bayesian Songbook (heavily dependent on prior results)

HippopotamAE (plural, sublime)

Page 29: The Bayesian Songbook (heavily dependent on prior results)

“Singing this haunting refrain”

Page 30: The Bayesian Songbook (heavily dependent on prior results)

MudMud, Mud, Glorious Mud!

Nothing quite like it for cooling the blood

So follow me, followDown to the hollow

And there let us wallow

in glo-o-o-o-ri-ous mud!