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Bayesian Inference For Stochastic Processes eBook

by Lyle D. Broemeling
language: english
Publisher: CRC PRESS, December of 2017 ‧
67,56€
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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: 9781315303574
Publisher: CRC PRESS
Release Date: December of 2017
Language: English
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Science > Mathematics
EAN: 9781315303574
Acessibilidade: Ver características de acessibilidade indicadas pelo editor