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- catalog abstract "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 Müller is Associate Professor and Brani Vidakovic is Assistant Professor of Statistics at Duke University.".
- catalog contributor b11287379.
- catalog contributor b11287380.
- catalog created "1999.".
- catalog date "1999".
- catalog date "1999.".
- catalog dateCopyrighted "1999.".
- catalog description "Includes bibliographical references.".
- catalog description "Introduction -- Prior Models - Independent Case -- Decision Theoretic Wavelet Shrinkage -- Prior Models - Dependent Case -- Spatial Models -- Empirical Bayes -- Case Studies.".
- catalog description "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 Müller is Associate Professor and Brani Vidakovic is Assistant Professor of Statistics at Duke University.".
- catalog extent "xiii, 394 p. :".
- catalog hasFormat "Bayesian inference in wavelet-based models.".
- catalog identifier "0387988858 (softcover : alk. paper)".
- catalog isFormatOf "Bayesian inference in wavelet-based models.".
- catalog isPartOf "Lecture notes in statistics (Springer-Verlag) ; v. 141.".
- catalog isPartOf "Lecture notes in statistics ; 141".
- catalog issued "1999".
- catalog issued "1999.".
- catalog language "eng".
- catalog publisher "New York : Springer,".
- catalog relation "Bayesian inference in wavelet-based models.".
- catalog subject "519.5/42 21".
- catalog subject "Bayesian statistical decision theory.".
- catalog subject "QA279.5 .B387 1999".
- catalog subject "Statistics.".
- catalog subject "Wavelets (Mathematics)".
- catalog tableOfContents "Introduction -- Prior Models - Independent Case -- Decision Theoretic Wavelet Shrinkage -- Prior Models - Dependent Case -- Spatial Models -- Empirical Bayes -- Case Studies.".
- catalog title "Bayesian inference in wavelet based models / editors, Peter Müller, Brani Vidakovic.".
- catalog type "text".