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Bayesian Inference for Stochastic Processes

By Broemeling, Lyle D.

Bayesian Inference for Stochastic Processes

By Broemeling, Lyle D.

0 - Default Title
Description
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
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
450
Release Date:
2020-06-30
Publication Date:
2020-06-30
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
0367572435
ISBN13:
9780367572433
GPSR Manufacturer Reference:
[email protected]
Weight:
840 g
Height:
178 cm
Width:
254 cm
Thickness:
24 cm
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