Bayesian Inference for Stochastic Processes
Lyle D Broemeling
Broschiertes Buch

Bayesian Inference for Stochastic Processes

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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 a