Book contents
- Frontmatter
- Contents
- Preface
- Notation and abbreviations
- Part I General discussion
- Part II Approximate inference
- 4 Maximum a-posteriori approximation
- 5 Evidence approximation
- 6 Asymptotic approximation
- 7 Variational Bayes
- 8 Markov chain Monte Carlo
- Appendix A Basic formulas
- Appendix B Vector and matrix formulas
- Appendix C Probabilistic distribution functions
- References
- Index
5 - Evidence approximation
from Part II - Approximate inference
Published online by Cambridge University Press: 05 August 2015
- Frontmatter
- Contents
- Preface
- Notation and abbreviations
- Part I General discussion
- Part II Approximate inference
- 4 Maximum a-posteriori approximation
- 5 Evidence approximation
- 6 Asymptotic approximation
- 7 Variational Bayes
- 8 Markov chain Monte Carlo
- Appendix A Basic formulas
- Appendix B Vector and matrix formulas
- Appendix C Probabilistic distribution functions
- References
- Index
Summary
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- Type
- Chapter
- Information
- Bayesian Speech and Language Processing , pp. 184 - 210Publisher: Cambridge University PressPrint publication year: 2015