| Online-Ressource |
Verfasst von: | Zwanzig, Silvelyn [VerfasserIn]  |
| Ahmad, Rauf [VerfasserIn]  |
Titel: | Bayesian inference |
Titelzusatz: | theory, methods, computations |
Verf.angabe: | Silvelyn Zwanzig and Rauf Ahmad |
Ausgabe: | First edition |
Verlagsort: | Boca Raton ; London ; New York |
Verlag: | CRC Press, Taylor & Francis Group |
Jahr: | 2024 |
Umfang: | 1 Online-Ressource (ix, 336 Seiten) |
Illustrationen: | Illustrationen |
ISBN: | 978-1-003-22162-3 |
Abstract: | "Bayesian Inference: Theory, Methods, Computations 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. The theoretical ideas are explained in simple and easily comprehensible forms, supplemented with several examples. A clear reasoning on the validity, usefulness, and pragmatic approach of the Bayesian methods is provided. A large number of examples and exercises, and solutions to all exercises, are provided to help students understand the concepts through ample practice. The book is primarily aimed at first or second semester master students, where parts of the book can also be used at Ph.D. level or by research community at large. The emphasis is on exact cases. However, to gain further insight into the core concepts, an entire chapter is dedicated to computer intensive techniques. Selected chapters and sections of the book can be used for a one-semester course on Bayesian statistics"--... |
DOI: | doi:10.1201/9781003221623 |
URL: | Resolving-System: https://doi.org/10.1201/9781003221623 |
| Verlag: https://www.taylorfrancis.com/books/9781003221623 |
| DOI: https://doi.org/10.1201/9781003221623 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Zwanzig, Silvelyn: Bayesian inference. - First edition. - Boca Raton : CRC Press, 2024. - ix, 336 Seiten |
Sach-SW: | MATHEMATICS / Probability & Statistics / Bayesian Analysis |
K10plus-PPN: | 1911941895 |
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Lokale URL UB: | Zum Volltext |