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Kniha Bayesian Inference in Wavelet-Based Models Peter

Bayesian Inference in Wavelet-Based Models

Autor: Peter, Miller
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Springer-Verlag New York Inc.
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
99.69 €
This volume provides a thorough introduction and reference for any researcher who is interested in B...

Informácie o knihe

Autor
Peter, Miller
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
1999
Stránok
396
EAN
9780387988856
ISBN
0387988858
Enbook ID
04067086
Vydavateľ
Springer-Verlag New York Inc.
Hmotnosť
1280
Rozmery
155 x 235 x 23

Kompletný popis

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.

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