Fundamentals of Nonparametric Bayesian Inference

By:

Ghosal, Subhashis

Contributor(s):

Vaart, Aad Van Der

Material type: Text

TextSeries: Cambridge Series in Statistical and Probabilistic MathematicsPublication details: Cambridge University Press 2017 New YorkDescription: 646pISBN:

9780521878265

Subject(s):

DDC classification:

519.542 GHO

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	519.542 GHO (Browse shelf(Opens below))	Available		M0034549

Total holds: 0

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

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