Bayesian nonparametrics
著者
書誌事項
Bayesian nonparametrics
（Springer series in statistics）
Springer, c2003
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注記
Bibliography: p. [285]-299
Includes index
内容説明・目次
内容説明
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.
目次
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
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