Bayesian Inference for Stochastic Processes - Lyle D. Broemeling - Books - Taylor & Francis Ltd - 9781138196131 - December 15, 2017
In case cover and title do not match, the title is correct

Lyle D. Broemeling
Bayesian Inference for Stochastic Processes 1st edition

Get an email once the item is available
Do you have a profile? Log in
Get notified about new Lyle D. Broemeling releases

Our customers say:

14-day return policy in accordance with European consumer protection law
Top ranking on Trustpilot
Add to your iMusic wish list

Not rated yet

Also available as:

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.

432 pages, 30 Illustrations, black and white

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 15, 2017
ISBN13 9781138196131
Publishers Taylor & Francis Ltd
Pages 448
Dimensions 260 × 185 × 29 mm   ·   952 g
Language English  

More by Lyle D. Broemeling

Show all

More from the same publisher

See all of Lyle D. Broemeling ( e.g. Hardcover Book and Paperback Book )