Buch, Englisch, 354 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1540 g
Reihe: Springer Texts in Statistics
Theory and Methods
Buch, Englisch, 354 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1540 g
Reihe: Springer Texts in Statistics
ISBN: 978-0-387-40084-6
Verlag: Springer
This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and emerging areas such as reference priors, objective Bayes testing, Bayesian model selection and wavelets. No other such book is available in the market.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Statistical Preliminaries.- Bayesian Inference and Decision Theory.- Utility, Prior, and Bayesian Robustness.- Large Sample Methods.- Choice of Priors for Low-dimensional Parameters.- Hypothesis Testing and Model Selection.- Bayesian Computations.- Some Common Problems in Inference.- High-dimensional Problems.- Some Applications.
