Book contents
- Frontmatter
- Dedication
- Contents
- Glossary of Symbols
- Preface
- 1 Introduction
- 2 Priors on Function Spaces
- 3 Priors on Spaces of Probability Measures
- 4 Dirichlet Processes
- 5 Dirichlet Process Mixtures
- 6 Consistency: General Theory
- 7 Consistency: Examples
- 8 Contraction Rates: General Theory
- 9 Contraction Rates: Examples
- 10 Adaptation and Model Selection
- 11 Gaussian Process Priors
- 12 Infinite-Dimensional Bernstein–von Mises Theorem
- 13 Survival Analysis
- 14 Discrete Random Structures
- Appendices
5 - Dirichlet Process Mixtures
Published online by Cambridge University Press: 22 July 2017
Book contents
- Frontmatter
- Dedication
- Contents
- Glossary of Symbols
- Preface
- 1 Introduction
- 2 Priors on Function Spaces
- 3 Priors on Spaces of Probability Measures
- 4 Dirichlet Processes
- 5 Dirichlet Process Mixtures
- 6 Consistency: General Theory
- 7 Consistency: Examples
- 8 Contraction Rates: General Theory
- 9 Contraction Rates: Examples
- 10 Adaptation and Model Selection
- 11 Gaussian Process Priors
- 12 Infinite-Dimensional Bernstein–von Mises Theorem
- 13 Survival Analysis
- 14 Discrete Random Structures
- Appendices
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- Fundamentals of Nonparametric Bayesian Inference , pp. 102 - 122Publisher: Cambridge University PressPrint publication year: 2017