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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| Format: | eBook |
| Language: | English |
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ANU Press
2015, 2015
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| Collection: | JSTOR Open Access Books - Collection details see MPG.ReNa |
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
- Includes bibliographical references