Book contents
- Frontmatter
- Contents
- Preface to the English Version
- Preface
- 1 Bayesian Inference
- 2 Representation of Prior Information
- 3 Bayesian Inference in Basic Problems
- 4 Inference by Monte Carlo Methods
- 5 Model Assessment
- 6 Markov Chain Monte Carlo Methods
- 7 Model Selection and Trans-dimensional MCMC
- 8 Methods Based on Analytic Approximations
- 9 Software
- Appendix A Probability Distributions
- Appendix B Programming Notes
- References
- Index
Appendix B - Programming Notes
Published online by Cambridge University Press: 18 February 2019
Book contents
- Frontmatter
- Contents
- Preface to the English Version
- Preface
- 1 Bayesian Inference
- 2 Representation of Prior Information
- 3 Bayesian Inference in Basic Problems
- 4 Inference by Monte Carlo Methods
- 5 Model Assessment
- 6 Markov Chain Monte Carlo Methods
- 7 Model Selection and Trans-dimensional MCMC
- 8 Methods Based on Analytic Approximations
- 9 Software
- Appendix A Probability Distributions
- Appendix B Programming Notes
- References
- Index
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- Chapter
- Information
- Computational Bayesian StatisticsAn Introduction, pp. 229 - 231Publisher: Cambridge University PressPrint publication year: 2019