- 724 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of th
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Yes, you can access Bayesian Methods by Jeff Gill in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface to the Third Edition
- Preface to the Second Edition
- Preface to the First Edition
- Chapter 1 - Background and Introduction
- Chapter 2 - Specifying Bayesian Models
- Chapter 3 - The Normal and Student’s-t Models
- Chapter 4 - The Bayesian Prior
- Chapter 5 - The Bayesian Linear Model
- Chapter 6 - Assessing Model Quality
- Chapter 7 - Bayesian Hypothesis Testing and the Bayes Factor
- Chapter 8 - Bayesian Decision Theory
- Chapter 9 - Monte Carlo and Related Iterative Methods
- Chapter 10 - Basics of Markov Chain Monte Carlo
- Chapter 11 - Implementing Bayesian Models with Markov Chain Monte Carlo
- Chapter 12 - Bayesian Hierarchical Models
- Chapter 13 - Some Markov Chain Monte Carlo Theory
- Chapter 14 - Utilitarian Markov Chain Monte Carlo
- Chapter 15 - Markov Chain Monte Carlo Extensions
- Appendix A - Generalized Linear Model Review
- Appendix B - Common Probability Distributions
- References
- Back Cover