Bayesian Inference for Stochastic Processes
Lyle D Broemeling
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.
Categorías:
Año:
2018
Editorial:
CRC Press
Idioma:
english
Páginas:
432
ISBN 10:
1138196134
ISBN 13:
9781138196131
Archivo:
PDF, 14.52 MB
IPFS:
,
english, 2018