Fundamentals of Nonparametric Bayesian Inference
Ghosal, Subhashis
Fundamentals of Nonparametric Bayesian Inference - New York Cambridge University Press 2017 - 646p - Cambridge Series in Statistical and Probabilistic Mathematics .
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
9780521878265
Nonparametric Statistics
Bayesian Statistical Decision Theory
519.542 / GHO
Fundamentals of Nonparametric Bayesian Inference - New York Cambridge University Press 2017 - 646p - Cambridge Series in Statistical and Probabilistic Mathematics .
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
9780521878265
Nonparametric Statistics
Bayesian Statistical Decision Theory
519.542 / GHO