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Bayesian Nonparametrics
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Bayesian Nonparametrics

 Previously published in hardcover
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ISBN-13:
9781441930446
Einband:
Previously published in hardcover
Erscheinungsdatum:
01.12.2010
Seiten:
324
Autor:
J. K. Ghosh
Gewicht:
491 g
Format:
235x155x17 mm
Sprache:
Englisch
Beschreibung:

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
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.