Bayesian Inference in Wavelet-Based Models
120,00 €*
Sofort verfügbar, Lieferzeit: 1-3 Tage
Produktnummer:
9780387988856
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.
| EAN: | 9780387988856 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 396 |
| Produktart: | kartoniert, broschiert |
| Verlag: | Springer Springer, Berlin Springer New York |
| Schlagworte: | Bayes-Statistik Inferenzstatistik Wavelet |
| Größe: | 235 |
| Gewicht: | 576 g |
