Practical Nonparametric and Semiparametric Bayesian Statistics (Paperback, 1998 ed.)


A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.

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Product Description

A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Lecture Notes in Statistics, 133

Release date

2001

Availability

Expected to ship within 10 - 15 working days

First published

1998

Editors

, ,

Dimensions

235 x 155 x 20mm (L x W x T)

Format

Paperback

Pages

392

Edition

1998 ed.

ISBN-13

978-0-387-98517-6

Barcode

9780387985176

Categories

LSN

0-387-98517-4



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