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Bayesian Inference For Stochastic Processes

by Lyle D. Broemeling
language: english
Publisher: TAYLOR & FRANCIS LTD, June of 2020 ‧
68,93€
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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 a

Bayesian Inference For Stochastic Processes

by Lyle D. Broemeling

Property Description
ISBN: 9780367572433
Publisher: TAYLOR & FRANCIS LTD
Release Date: June of 2020
Language: English
Dimensions: 178 x 254 x 20 mm
Cover: Softcover
Pages: 432
Format: Book
Categories: Books in English > Science > Mathematics
EAN: 9780367572433