bokomslag Bayesian Inference in Wavelet-Based Models
Vetenskap & teknik

Bayesian Inference in Wavelet-Based Models

Peter Müller Brani Vidakovic

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  • 396 sidor
  • 1999
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. Peter Muller is Associate Professor and Brani Vidakovic is Assistant Professor of Statistics at Duke University.
  • Författare: Peter Müller, Brani Vidakovic
  • Format: Pocket/Paperback
  • ISBN: 9780387988856
  • Språk: Engelska
  • Antal sidor: 396
  • Utgivningsdatum: 1999-06-22
  • Förlag: Springer-Verlag New York Inc.