Fundamentals of nonparametric Bayesian inference

✍ Scribed by Ghoshal, Subhashis; Vaart, Aad W. van der

Publisher: Cambridge University Press
Year: 2017
Tongue: English
Leaves: 671
Series: Cambridge series in statistical and probabilistic mathematics
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Preface
Glossary of symbols
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
References
Author index
Subject index.

✦ Subjects

Nonparametric statistics;Bayesian statistical decision theory;Statistische Schlussweise;Bayes-Inferenz;Bayesian statistical decision theory;Nonparametric statistics

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