Buch, Englisch, 602 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1103 g
Reihe: Springer Texts in Statistics
From Decision-Theoretic Foundations to Computational Implementation
Buch, Englisch, 602 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1103 g
Reihe: Springer Texts in Statistics
ISBN: 978-0-387-95231-4
Verlag: Springer
This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Decision-Theoretic Foundations.- From Prior Information to Prior Distributions.- Bayesian Point Estimation.- Tests and Confidence Regions.- Bayesian Calculations.- Model Choice.- Admissibility and Complete Classes.- Invariance, Haar Measures, and Equivariant Estimators.- Hierarchical and Empirical Bayes Extensions.- A Defense of the Bayesian Choice.