The Use of p-values and Bayes Factors in Genome- Wide Association Studies Professor Jon Wakefield.

The Use of The Use of pp-values and Bayes -values and Bayes Factors in Genome-Wide Factors in Genome-Wide

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Professor Jon WakefieldProfessor Jon Wakefield

Professor Jon WakefieldProfessor Jon Wakefield“Bayesian God”

Jon Wakefield Jon Wakefield – career progression– career progression

Chair ISBA (read paper)

IISSBBA!A!Modeling

Jon Wakefield Jon Wakefield – distinguished (easily) – distinguished (easily)

• Hair

• Glasses

• Accent

• Hair

• Glasses

• Accent

• Hair

• Glasses

• Accent

Jon Wakefield Jon Wakefield – influential figures– influential figures

• Patrick Heagerty (hair, hat)

• Uncertaindirection?

• Finallyinto gear!

• Patrick Heagerty (hair, hat)

• Uncertaindirection?

• Finallyinto gear!

• Dr D Balding

• Now headsimperial group

• “Laser-like”

• Dr E (Balding)

• Now headsimperial group

• Likes “Lasers”

• Lead his field

• A ‘colorful’ character

• Lead his field

• A ‘colorful’ character

Jon Wakefield Jon Wakefield – a family man– a family man

Looks more like…

Him in miniature!

Jon Wakefield Jon Wakefield – a family man– a family man

Looks more like…

Him in miniature!

Jon Wakefield Jon Wakefield – a statistical rock star!– a statistical rock star!

• Performed several unusual acts in Kensington

Jon Wakefield Jon Wakefield – a statistical rock star!– a statistical rock star!

• Performed several unusual acts in Kensington!

Professor Jon WakefieldProfessor Jon Wakefield

professor jon professor jon WakefieldWakefield

The Use of p-values and Bayes Factors in Genome- Wide Association Studies Professor Jon Wakefield.

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Transcript of The Use of p-values and Bayes Factors in Genome- Wide Association Studies Professor Jon Wakefield.

Bayes Decision Rule and Naïve Bayes Classifierlsong/teaching/CSE6740fall13/lecture8.pdf · Bayes Decision Rule and Naïve Bayes Classifier Machine Learning I CSE 6740, Fall 2013

Kenneth Reeder, Jon Shapiro & Jane Wakefield The University of British Columbia

Spam Filtering with Naive Bayes – Which Naive Bayes? · Spam Filtering with Naive Bayes – Which Naive Bayes? Vangelis Metsis1,2, Ion Androutsopoulos1 and Georgios Paliouras2 1Department

Connect Wakefield

Fundamental Advantages of Bayes in Drug Developmenthbiostat.org/doc/bayes/meetup.pdf · 2020-04-26 · Fundamental Advantages of Bayes in Drug Development Background Freq&Bayes Needed

The Naïve Bayes Classifier - svivek · •The naïve Bayes Classifier •Learning the naïve Bayes Classifier •Practical concerns 2. Today’s lecture •The naïve Bayes Classifier

Spam Filtering with Naive Bayes - Which Naive Bayes? · PDF fileSpam Filtering with Naive Bayes – Which Naive Bayes? ∗ Vangelis Metsis † Institute of Informatics and Telecommunications,

Port Wakefield

Spam Filtering with Naive Bayes â€“ Which Naive Bayes?

Bayes and Naïve Bayes Classifiers

Bayes Theorem & Naïve Bayes - Penn Engineeringcis521/Lectures/naive-bayes-spam.pdfUsing Naive Bayes Classifiers to Classify Text: Basic method for Multinomial Variables • As a generative

Naive Bayes Text Classification · Naive Bayes Text Classification Sandeep Avula asandeep@live.unc.edu. Outline Basic Probability and Notation Bayes Law and Naive Bayes Classification

CHAPTER 9: GENERAL REGRESSION MODELScourses.washington.edu/b571/lectures/chap9_2.pdf · 2006. 2. 24. · 2006 Jon Wakefield, Stat/Biostat 571 CHAPTER 9: GENERAL REGRESSION MODELS

Stat/Biostat 571 Statistical Methodology: Regression ...courses.washington.edu/b571/lectures/set1.pdf · 2009 Jon Wakefield, Stat/Biostat 571 Learning Objectives: 571, Winter 2008

Why Bayes for Clinical Trials? - Hbiostathbiostat.org/doc/bayes/why.pdf · 2019-09-22 · Why Bayes for Clinical Trials? Background Freq&Bayes Types of Probabilities Needed Probabilities

Bayes Factors for t tests and one way Analysis of Variance ...Bayes Factors for t tests and one way Analysis of Variance; in R Dr. Jon Starkweather It may seem like small potatoes,

MLE and MAP•Maximum a posteriori (MAP) estimate •Naïve Bayes •Various Naïve Bayes models •model 1: Bernoulli Naïve Bayes •model 2: Multinomial Naïve Bayes •model 3:

Classification: Naïve Bayes - University of Belgradeai.fon.bg.ac.rs/wp-content/uploads/2016/10/Naive-Bayes-Labs-2016.pdf · Naive Bayes classifier • Based on the Bayes rule •

Non-parametric Empirical Bayes and Compound Bayes ...

Fluency Reasoning Problem solving. Created by: Jon Davis (Moorlands Primary School), Nathan Wakefield (Sholing Junior School) Nic Cowen (Newlands Primary.