Show Summary Details
- Title Pages
- Preface
-
1 Preview -
2 Deterministic Models -
3 Principles of Probability -
4 Likelihood -
5 Simple Bayesian Models -
6 Hierarchical Bayesian Models -
II Implementation -
7 Markov Chain Monte Carlo -
8 Inference from a Single Model -
9 Inference from Multiple Models -
III Practice in Model Building -
10 Writing Bayesian Models -
11 Problems -
12 Solutions - Afterword
- Acknowledgments
-
Appendix A Probability Distributions and Conjugate Priors - Bibliography
- Index
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- Title Pages
- Preface
-
1 Preview -
2 Deterministic Models -
3 Principles of Probability -
4 Likelihood -
5 Simple Bayesian Models -
6 Hierarchical Bayesian Models -
II Implementation -
7 Markov Chain Monte Carlo -
8 Inference from a Single Model -
9 Inference from Multiple Models -
III Practice in Model Building -
10 Writing Bayesian Models -
11 Problems -
12 Solutions - Afterword
- Acknowledgments
-
Appendix A Probability Distributions and Conjugate Priors - Bibliography
- Index
