Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks

Etukansi
Springer Science & Business Media, 29.5.2006 - 324 sivua

Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.

 

Sisältö

Introduction
1
Building and Using Probabilistic Networks
25
Graph Theory 43
42
Markov Properties on Graphs
63
Discrete Networks 83
82
Gaussian and Mixed DiscreteGaussian Networks
125
Checking Models Again
225
4
234
Structural Learning
242
6
256
Epilogue
265
B Gibbs Sampling
271
Author Index 307
306
265
319
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