Doing Bayesian Data Analysis: A Tutorial with R and BUGS

Doing Bayesian Data Analysis: A Tutorial with R and BUGS Front Cover
31 Reviews
2010-11-10
672 pages

Book Description

There is an explosion of interest in Bayesian , primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian --t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis).

This book is intended for first year graduate students or advanced undergraduates. It provides a bridge between undergraduate training and modern Bayesian methods for data analysis, which is becoming the accepted research standard. Prerequisite is knowledge of algebra and basic calculus. Free now includes programs in JAGS, which runs on Macintosh, Linux, and .

Author website: http://www.indiana.edu/~kruschke/DoingBayesianDataAnalysis/

-Accessible, including the basics of essential concepts of probability and random sampling

-Examples with R and BUGS 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 BUGS computer code on website

-Exercises have explicit purposes and guidelines for accomplishment

Book Details

  • Title: Doing Bayesian Data Analysis: A Tutorial with R and BUGS
  • Author:
  • Length: 672 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2010-11-10
  • ISBN-10: 0123814855
  • ISBN-13: 9780123814852

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