BAYESIAN INFERENCE FOR STOCHASTIC PROCES

The booknbspaims 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.nbspExamples fromnbspbiology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS.

Cartea solicita introducerea metodelor de inferenta bayesiana pentru procesele stochastice. Abordarea Bayesiana are avantaje in comparatie cu non-Bayesian, printre care se numara utilizarea optima a informatiilor anterioare prin intermediul datelor din experimente similare anterioare.