Bayesian nonparametrics

Author(s)
Bibliographic Information

Bayesian nonparametrics

J.K. Ghosh, R.V. Ramamoorthi

(Springer series in statistics)

Springer, c2003

Search this Book/Journal
Note

Bibliography: p. [285]-299

Includes index

Description and Table of Contents

Description

This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.

Table of Contents

Introduction * Preliminaries and the Finite Dimensional Case * M(X) and Priors on M(X) * Dirichlet and Polya Tree Process * Consistency Theorems * Density Estimation * Inference for Location Parameter * Regression Problems * Uniform Distribution on Infinite Dimensional Spaces * Survivial Analysis-Dirichlet Priors * Neutral To Right Priors

by "Nielsen BookData"

Related Books: 1-1 of 1
Details
Page Top