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Bayesian Inference For Stochastic Processes

by Lyle D. Broemeling
language: english
Publisher: TAYLOR & FRANCIS LTD, December of 2017 ‧
229,82€
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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 and WinBUGS.

Bayesian Inference For Stochastic Processes

by Lyle D. Broemeling

Property Description
ISBN: 9781138196131
Publisher: TAYLOR & FRANCIS LTD
Release Date: December of 2017
Language: English
Dimensions: 156 x 235 x 20 mm
Cover: Hardcover
Pages: 448
Format: Book
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9781138196131