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4. Likelihood

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Bayesian Models
This chapter is in the book Bayesian Models

Chapters in this book

  1. Frontmatter i
  2. Contents v
  3. Preface ix
  4. I. Fundamentals
  5. 1. Preview 1
  6. 2. Deterministic Models 17
  7. 3. Principles of Probability 29
  8. 4. Likelihood 71
  9. 5. Simple Bayesian Models 79
  10. 6. Hierarchical Bayesian Models 107
  11. II. Implementation
  12. Introduction 143
  13. 7. Markov Chain Monte Carlo 145
  14. 8. Inference from a Single Model 181
  15. 9. Inference from Multiple Models 209
  16. III. Practice in Model Building
  17. Introduction 231
  18. 10. Writing Bayesian Models 233
  19. 11. Problems 243
  20. 12. Solutions 251
  21. Afterword 273
  22. Acknowledgments 277
  23. Appendix A. 279
  24. Bibliography 283
  25. Index 293
https://doi.org/10.1515/9781400866557-005

Chapters in this book

  1. Frontmatter i
  2. Contents v
  3. Preface ix
  4. I. Fundamentals
  5. 1. Preview 1
  6. 2. Deterministic Models 17
  7. 3. Principles of Probability 29
  8. 4. Likelihood 71
  9. 5. Simple Bayesian Models 79
  10. 6. Hierarchical Bayesian Models 107
  11. II. Implementation
  12. Introduction 143
  13. 7. Markov Chain Monte Carlo 145
  14. 8. Inference from a Single Model 181
  15. 9. Inference from Multiple Models 209
  16. III. Practice in Model Building
  17. Introduction 231
  18. 10. Writing Bayesian Models 233
  19. 11. Problems 243
  20. 12. Solutions 251
  21. Afterword 273
  22. Acknowledgments 277
  23. Appendix A. 279
  24. Bibliography 283
  25. Index 293
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