Doing Bayesian Data Analysis

Doing Bayesian Data Analysis
Author :
Publisher : Academic Press
Total Pages : 772
Release :
ISBN-10 : 9780124059160
ISBN-13 : 0124059163
Rating : 4/5 (60 Downloads)

Book Synopsis Doing Bayesian Data Analysis by : John Kruschke

Download or read book Doing Bayesian Data Analysis written by John Kruschke and published by Academic Press. This book was released on 2014-11-11 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Doing Bayesian Data Analysis Related Books

Doing Bayesian Data Analysis
Language: en
Pages: 772
Authors: John Kruschke
Categories: Mathematics
Type: BOOK - Published: 2014-11-11 - Publisher: Academic Press

DOWNLOAD EBOOK

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as materi
Doing Bayesian Data Analysis
Language: en
Pages: 673
Authors: John Kruschke
Categories: Mathematics
Type: BOOK - Published: 2010-11-25 - Publisher: Academic Press

DOWNLOAD EBOOK

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable
Bayesian Data Analysis, Third Edition
Language: en
Pages: 677
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2013-11-01 - Publisher: CRC Press

DOWNLOAD EBOOK

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzin
Bayesian Data Analysis, Second Edition
Language: en
Pages: 717
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2003-07-29 - Publisher: CRC Press

DOWNLOAD EBOOK

Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, de
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan
Language: en
Pages: 329
Authors: Franzi Korner-Nievergelt
Categories: Science
Type: BOOK - Published: 2015-04-04 - Publisher: Academic Press

DOWNLOAD EBOOK

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book