There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan 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. Included are step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs. 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. Knowledge of algebra and basic calculus is a prerequisite.
New to this Edition (partial list):
Author: Kruschke, John
Publisher: Elsevier S & T
Publish Date: 2014
Edition: 2
ISBN: 0124058884
ISBN 13: 9780124058880
Dimension: Length: 7.8 inches, Width: 1.7 inches, Height: 9.3 inches
Weight: Weight: 3.8360433588 pounds
Binding: Hardcover
Pages: 776
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan 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. Included are step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs. 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. Knowledge of algebra and basic calculus is a prerequisite.
New to this Edition (partial list):
Author: Kruschke, John
Publisher: Elsevier S & T
Publish Date: 2014
Edition: 2
ISBN: 0124058884
ISBN 13: 9780124058880
Dimension: Length: 7.8 inches, Width: 1.7 inches, Height: 9.3 inches
Weight: Weight: 3.8360433588 pounds
Binding: Hardcover
Pages: 776