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Bayesian Inference

Theory, Methods, Computations
TaschenbuchKartoniert, Paperback
336 Seiten
Englisch
Taylor & Francis Ltderschienen am23.07.2024
This book provides a comprehensive coverage of the fundamentals of Bayesian inference from all important perspectives, namely theory, methods and computations. All theoretical results are presented as formal theorems, corollaries, lemmas etc., furnished with detailed proofs.mehr
Verfügbare Formate
BuchGebunden
EUR202,50
TaschenbuchKartoniert, Paperback
EUR79,00
E-BookPDF0 - No protectionE-Book
EUR83,99
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EUR83,99

Produkt

KlappentextThis book provides a comprehensive coverage of the fundamentals of Bayesian inference from all important perspectives, namely theory, methods and computations. All theoretical results are presented as formal theorems, corollaries, lemmas etc., furnished with detailed proofs.
Details
ISBN/GTIN978-1-032-11809-3
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2024
Erscheinungsdatum23.07.2024
Seiten336 Seiten
SpracheEnglisch
MasseBreite 156 mm, Höhe 234 mm, Dicke 23 mm
Gewicht532 g
Artikel-Nr.61442217

Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction2. Bayesian Modelling3. Choice of Prior4. Decision Theory 5. Asymptotic Theory6. Normal Linear Models7. Estimation8. Testing and Model Comparison 9. Computational Techniques10. Solutions11. AppendixIndexmehr

Autor

Silvelyn Zwanzig is a Professor for Mathematical Statistics at Uppsala University. She studied Mathematics at the Humboldt University in Berlin. Before coming to Sweden, she was Assistant Professor at the University of Hamburg in Germany. She received her Ph.D. in Mathematics at the Academy of Sciences of the GDR. She has taught Statistics to undergraduate and graduate students since 1991. Her research interests include theoretical statistics and computer-intensive methods.

Rauf Ahmad is Associate Professor at the Department of Statistics, Uppsala University. He did his Ph.D. at Göttingen University, Germany. Before joining Uppsala University, he worked at the Division of Mathematical Statistics, Department of Mathematics, Linköping University, and at Biometry Division, Swedish University of Agricultural Sciences, Uppsala. He has taught Statistics to undergraduate and graduate students since 1995. His research interests include high-dimensional inference, mathematical statistics, and U-statistics.