Probabilistic_Inference_Using_Markov_Chain_Monte_Carlo_Methods-R_Neal.pdf

(1017 KB) Pobierz

134173345 UNPDF

2.1 Probabilistic inference with a fully-speci ed model ::::::::::::::: 5

2.2 Statistical inference for model parameters :::::::::::::::::::: 13

2.3 Bayesian model comparison :::::::::::::::::::::::::::: 23

2.4 Statistical physics :::::::::::::::::::::::::::::::::: 25

5.1 The stochastic dynamics method ::::::::::::::::::::::::: 70

5.3 Other dynamical methods ::::::::::::::::::::::::::::: 81

of various functions of the variables. Suppose X = f X

; ...;X

n

g is the set of random

h a i =

= f X

g for the set of