Isbn: 9780387988856 - bayesian inference in wavelet-based models: 141 (lecture notes in statistics, 141) (11 resultados)

Softcover. Condición: 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.…

Softcover. Condición: 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. …

Condición: New. In English.

Condición: New. pp. 416.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. 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.…

Kartoniert / Broschiert. Condición: 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.…

Condición: New. Print on Demand 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.

Condición: New. PRINT ON DEMAND pp. 416.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book links two of the most active areas of statistics, Bayesian statistics and wavelets.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 416 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt 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.…