An edition of Doing Bayesian Data Analysis (2010)

Doing Bayesian Data Analysis

A Tutorial with R, JAGS, and Stan

Second Edition
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Last edited by MARC Bot
August 9, 2024 | History
An edition of Doing Bayesian Data Analysis (2010)

Doing Bayesian Data Analysis

A Tutorial with R, JAGS, and Stan

Second Edition
  • 7 Want to read

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets.

The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment.

This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business.

Accessible, including the basics of essential concepts of probability and random sampling
Examples with R programming language and JAGS software
Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis)
Coverage of experiment planning
R and JAGS computer programming code on website
Exercises have explicit purposes and guidelines for accomplishment
Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs

Publish Date
Publisher
Academic Press
Pages
776

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Previews available in: English

Edition Availability
Cover of: Doing Bayesian Data Analysis
Doing Bayesian Data Analysis
2015, Academic Press
Cover of: Doing Bayesian Data Analysis
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
2015, Academic Press
- Second Edition
Cover of: Doing Bayesian Data Analysis
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
2014, Elsevier Science & Technology Books
in English
Cover of: Doing Bayesian Data Analysis
Doing Bayesian Data Analysis: A Tutorial Introduction with R
2010, Elsevier Science & Technology Books
in English
Cover of: Doing Bayesian Data Analysis
Doing Bayesian Data Analysis
2010, Academic Press
in English

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Book Details


Classifications

Library of Congress
QA279.5.K79 2014, QA279.5 .K79 2015, QA279.5 .K79 2014

Edition Identifiers

Open Library
OL27306098M
ISBN 13
9780124058880
LCCN
2014011293
OCLC/WorldCat
881386855

Work Identifiers

Work ID
OL16799762W

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August 9, 2024 Edited by MARC Bot import existing book
December 19, 2023 Edited by ImportBot import existing book
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October 10, 2020 Edited by ImportBot import existing book
September 9, 2019 Created by galexyen Added new book.