Doing Bayesian Data Analysis: A Tutorial Introduction with R

Book Details

• Author: John Kruschke

• Brand: Academic Press

• Edition: 1

• Binding: Hardcover

• ISBN: 9780123814852

• Pages: 672

• Release Date: 25-11-2010

• Languages: English

About The Book

"Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS" by John Kruschke is an essential guide for first-year graduate students or advanced undergraduates interested in learning Bayesian statistics. This comprehensive textbook offers a clear and intuitive approach to the complex world of Bayesian data analysis, assuming only basic algebra and "rusty" calculus.

Unlike other textbooks, this book begins with foundational concepts, such as probability and random sampling, and builds up to more advanced hierarchical modeling methods. The text includes practical, hands-on examples using R and BUGS (both free software tools), ensuring that students can apply their learning to real-world data. Additionally, the book provides templates that can be adapted to various research needs, making it an ideal resource for anyone looking to integrate Bayesian methods into their analysis.

Key topics covered include:

• Basic Probability and Random Sampling

• Advanced Hierarchical Modeling Methods

• Bayesian Alternatives to Non-Bayesian Methods (such as t-tests, ANOVA, regression, and chi-square)

• Experiment Planning

• R and BUGS Code (available online for reference)

• Comprehensive Exercises with explicit guidelines for successful completion

This book is an invaluable resource for students transitioning from undergraduate training to modern Bayesian methods, making it the perfect bridge to mastering advanced data analysis techniques. Whether you are learning for academic purposes or research, Kruschke’s accessible style ensures a deep understanding of Bayesian statistics.