Doing Bayesian Data Analysis > III Applied to the Generalized Linear Model > 23 Tools in the Trunk

Table of Contents

Download Safari Books Online apps: Apple iOS | Android

Entire Site

Free Trial

Safari Books Online is a digital library providing on-demand subscription access to thousands of learning resources.

Search

Table of Contents

Front Cover

Doing Bayesian Data Analysis: A Tutorial with R and BUGS

Dedication

Table of Contents

1 This Book's Organization: Read Me First!

I The Basics: Parameters, Probability, Bayes' Rule, and R

II All the Fundamentals Applied to Inferring a Binomial Proportion

III Applied to the Generalized Linear Model

14 Overview of the Generalized Linear Model

15 Metric Predicted Variable on a Single Group

16 Metric Predicted Variable with One Metric Predictor

17 Metric Predicted Variable with Multiple Metric Predictors

18 Metric Predicted Variable with One Nominal Predictor

19 Metric Predicted Variable with Multiple Nominal Predictors

20 Dichotomous Predicted Variable

21 Ordinal Predicted Variable

22 Contingency Table Analysis

23 Tools in the Trunk

23.1 Reporting a Bayesian Analysis

23.2 MCMC Burn-in and Thinning

23.3 Functions for Approximating Highest Density Intervals

23.4 Reparameterization of Probability Distributions

References

Index

CHAPTER 23 Tools in the Trunk CONTENTS 23.1 Reporting a Bayesian Analysis ............................................ 620 23.1.1 Essential Points .............................................................. 620 23.1.2 Optional Points .............................................................. 621 23.1.3 Helpful Points ................................................................ 622 23.2 MCMC Burn-in and Thinning .............................................. 623 23.3 Functions for Approximating Highest Density Intervals ......... 626

Download Safari Books Online apps: Apple iOS | Android

This Book

Search

Contents

III Applied to the Generalized Linear Model > 23 Tools in the Trunk - Pg. 619