Bayesian Methods for Statistical Analysis
eBook - PDF

Bayesian Methods for Statistical Analysis

  1. 698 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Bayesian Methods for Statistical Analysis

About this book

Bayesian Methods for Statistical Analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo me

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Yes, you can access Bayesian Methods for Statistical Analysis by Borek Puza 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

Publisher
ANU eView
Year
2015
eBook ISBN
9781921934261
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Abstract
  2. Acknowledgements
  3. Preface
  4. Overview
  5. 1. Bayesian Basics Part 1
  6. 2. Bayesian Basics Part 2
  7. 3. Bayesian Basics Part 3
  8. 4. Computational Tools
  9. 5. Monte Carlo Basics
  10. 6. MCMC Methods Part 1
  11. 7. MCMC Methods Part 2
  12. 8. Inference via WinBUGS
  13. 9. Bayesian Finite Population Theory
  14. 10. Normal Finite Population Models
  15. 11. Transformations and Other Topics
  16. 12. Biased Sampling and Nonresponse
  17. Appendix A: Additional Exercises
  18. Appendix B: Distributions and Notation
  19. Appendix C: Abbreviations and Acronyms
  20. Bibliography