Bayesian nonparametrics
Author(s)
Bibliographic Information
Bayesian nonparametrics
(Springer series in statistics)
Springer, c2003
Available at / 45 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
519.542/G3462070581540
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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"