Items related to Bayesian Inference in Wavelet-Based Models (Lecture...
Synopsis
This volume presents an overview of Bayesian methods for inference in the wavelet domain. The papers in this volume are divided into six parts: The first two papers introduce basic concepts. Chapters in Part II explore different approaches to prior modeling, using independent priors. Papers in the Part III discuss decision theoretic aspects of such prior models. In Part IV, some aspects of prior modeling using priors that account for dependence are explored. Part V considers the use of 2-dimensional wavelet decomposition in spatial modeling. Chapters in Part VI discuss the use of empirical Bayes estimation in wavelet based models. Part VII concludes the volume with a discussion of case studies using wavelet based Bayesian approaches. The cooperation of all contributors in the timely preparation of their manuscripts is greatly recognized. We decided early on that it was impor tant to referee and critically evaluate the papers which were submitted for inclusion in this volume. For this substantial task, we relied on the service of numerous referees to whom we are most indebted. We are also grateful to John Kimmel and the Springer-Verlag referees for considering our proposal in a very timely manner. Our special thanks go to our spouses, Gautami and Draga, for their support.
"synopsis" may belong to another edition of this title.
About the Author
Peter Mller is Associate Professor and Brani Vidakovic is Assistant Professor of Statistics at Duke University.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date1999
- ISBN 10 0387988858
- ISBN 13 9780387988856
- BindingPaperback
- LanguageEnglish
- Number of pages410
- EditorMüller Peter, Vidakovic Brani
Search results for Bayesian Inference in Wavelet-Based Models (Lecture...
Seller Image
Bayesian inference in wavelet based models.
Seller: Antiquariat Bookfarm, Löbnitz, Germany
Seller rating 5 out of 5 stars
Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD conditon, some traces of use. Sf 217 9780387988856 Sprache: Englisch Gewicht in Gramm: 550. Seller Inventory # 2086534
Quantity: 1 available
Stock Image
Bayesian Inference in Wavelet-Based Models
Published by
Springer-Verlag New York Inc., 1999
ISBN 10: 0387988858
ISBN 13: 9780387988856
Used
Softcover
Seller: Ammareal, Morangis, France
Seller rating 5 out of 5 stars
Softcover. Condition: Bon. Ancien livre de bibliothèque. Livre un peu vrillé. Petite(s) trace(s) de pliure sur la couverture. Légères traces d'usure sur la couverture. Salissures sur la tranche. Traces d'humidité sur les pages. Traces d'humidité sur les premières et dernières pages ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Book slightly twisted. Slightly creased cover. Slight signs of wear on the cover. Stains on the edge. Traces of humidity on the pages. Traces of humidity on the first and last pages. Edition 1999. Ammareal gives back up to 15% of this. Seller Inventory # E-812-762
Quantity: 1 available
Stock Image
Bayesian Inference in Wavelet-Based Models
Published by
Springer-Verlag New York Inc., 1999
ISBN 10: 0387988858
ISBN 13: 9780387988856
Used
Softcover
Seller: Ammareal, Morangis, France
Seller rating 5 out of 5 stars
Softcover. Condition: Bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slightly creased cover. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-563-401
Quantity: 1 available
Stock Image
Bayesian Inference in Wavelet-Based Models
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 416. Seller Inventory # 262579912
Quantity: 1 available
Stock Image
Bayesian Inference in Wavelet-Based Models
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. pp. 416 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Seller Inventory # 5300759
Quantity: 1 available
Stock Image
Bayesian Inference in Wavelet-Based Models
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. pp. 416. Seller Inventory # 182579906
Quantity: 1 available
Stock Image
Bayesian Inference in Wavelet-Based Models (Lecture Notes in Statistics, 141)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Feb2215580175553
Quantity: Over 20 available
Stock Image
Bayesian Inference in Wavelet-Based Models (Lecture Notes in Statistics, 141)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In English. Seller Inventory # ria9780387988856_new
Quantity: Over 20 available
Seller Image
Bayesian Inference in Wavelet-Based Models
Published by
Springer New York, 1999
ISBN 10: 0387988858
ISBN 13: 9780387988856
New
Kartoniert / Broschiert
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume presents an overview of Bayesian methods for inference in the wavelet domain. The papers in this volume are divided into six parts: The first two papers introduce basic concepts. Chapters in Part II explore different approaches to prior modeling. Seller Inventory # 5913551
Quantity: Over 20 available
Seller Image
Bayesian Inference in Wavelet-Based Models
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9780387988856
Quantity: 1 available