Bayesian Inference for Stochastic Processes

Riassunto

The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments. Examples from biology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS.

Dettagli sul prodotto

• Autori: Lyle D. Broemeling, Lyle D. (Medical Lake Broemeling
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 15.12.2017
• EAN: 9781138196131
• ISBN: 978-1-138-19613-1
• Pagine: 448
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, Probability & statistics, Probability and statistics