Bayesian Inference for Stochastic Processes - Lyle D. Broemeling - Books - Taylor & Francis Ltd - 9780367572433 - June 30, 2020
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Lyle D. Broemeling
Bayesian Inference for Stochastic Processes 1st edition

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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

432 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released June 30, 2020
ISBN13 9780367572433
Publishers Taylor & Francis Ltd
Pages 432
Dimensions 150 × 220 × 10 mm   ·   830 g
Language English  

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