Bayesian Methods for Statistical Analysis.

Bayesian Methods for Statistical Analysis.

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 m...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Puza, Borek (Author)
Format: Electronic Software eBook
Language:English
Published: ANU Press 2015
Subjects:
Bayesian statistical decision theory.
Local Note:ProQuest Ebook Central
Table of Contents:
  • 1. Bayesian basics part 1
  • 2. Bayesian basics part 2
  • 3. Bayesian basics part 3
  • 4. Computational tools
  • 5. Monte Carlo basics
  • 6. MCMC methods part 1
  • 7. MCMC methods part 2
  • 8. Inference via WinBUGS
  • 9. Bayesian finite population theory
  • 10. Normal finite population models
  • 11. Transformations and other topics
  • 12. Biased sampling and nonresponse
  • Appendix A: Additional exercises
  • Appendix B: Distributions and notation
  • Appendix C: Abbreviations and acronyms.

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