Bayesian Inference in Wavelet-Based Models

Language: English

Published by Springer, Springer Jun 1999, 1999

0387988858 / 9780387988856

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -This volume provides a thorough introduction and reference for any researcher who is interested in Bayesian inference for wavelet-based models, but is not necessarily an expert in either. To achieve this goal the book starts with an extensive introductory chapter providing a self-contained introduction to the use of wavelet decompositions and the relation to Bayesian inference. The remaining papers in this volume are divided into six parts: independent prior modeling; decision theoretic aspects; dependent prior modeling; spatial models using bivariate wavelet bases; empirical Bayes approaches; and case studies. Chapters are written by experts who published the original research papers establishing the use of wavelet-based models in Bayesian inference. 416 pp. Englisch.

Seller Inventory # 9780387988856

Title
Bayesian Inference in Wavelet-Based Models
Author
Peter Müller
Publisher
Springer, Springer Jun 1999
Publication year
1999
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0387988858
ISBN 13
9780387988856
Item weight
628 grams
Dimensions
235x155x23 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany