Bayesian inference for stochastic processes
Auteur :
Broemeling, Lyle D.
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367572433
Date de publication :
30 juin 2020
Dimensions :
25,4 x 17,8 cm
Poids :
830 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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