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
- A Space of Probability Measures
- B Space of Probability Densities
- C Packing, Covering, Bracketing and Entropy Numbers
- D Hypothesis Tests
- E Polynomials, Splines and Wavelets
- F Elements of Empirical Processes
- G Finite-Dimensional Dirichlet Distribution
- H Inverse-Gaussian Distribution
- I Gaussian Processes
- J Completely Random Measures
- K Inequalities and Estimates
- L Miscellaneous Results
- M Elements of Markov Chain Monte Carlo
- References
- Author Index
M - Elements of Markov Chain Monte Carlo
from Appendices
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
- A Space of Probability Measures
- B Space of Probability Densities
- C Packing, Covering, Bracketing and Entropy Numbers
- D Hypothesis Tests
- E Polynomials, Splines and Wavelets
- F Elements of Empirical Processes
- G Finite-Dimensional Dirichlet Distribution
- H Inverse-Gaussian Distribution
- I Gaussian Processes
- J Completely Random Measures
- K Inequalities and Estimates
- L Miscellaneous Results
- M Elements of Markov Chain Monte Carlo
- References
- Author Index
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- Fundamentals of Nonparametric Bayesian Inference , pp. 619 - 622Publisher: Cambridge University PressPrint publication year: 2017