Книга Probabilistic Networks and Expert Systems Robert G. Cowell

Probabilistic Networks and Expert Systems

Език: Английски език
Корици: С твърди корици
Наличност: Външен склад
Изпращаме след 10-13 дни
174.74 341.76 лв
Winner of the 2002 DeGroot Prize.Probabilistic expert systems are graphical networks that support th...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
1999
страници
324
EAN
9780387987675
ISBN
0387987673
Enbook ID
01385630
Теглоt
660
Размери
165 x 241 x 19

Пълно описание

Winner of the 2002 DeGroot Prize.Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors over a number of years, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms, emphasizing those cases in which exact answers are obtainable. It covers both the updating of probabilistic uncertainty in the light of new evidence, and statistical inference, about unknown probabilities or unknown model structure, in the light of new data. The careful attention to detail will make this work an important reference source for all those involved in the theory and applications of probabilistic expert systems.This book was awarded the first DeGroot Prize by the International Society for Bayesian Analysis for a book making an important, timely, thorough, and notably original contribution to the statistics literature.WINNER OF THE 2001 DEGROOT PRIZE!§§Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors over a number of years, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms, emphasizing those cases in which exact answers are obtainable. It covers both the updating of probabilistic uncertainty in the light of new evidence, and statistical inference, about unknown probabilities or unknown model structure, in the light of new data. The careful attention to detail will make this work an important reference source for all those involved in the theory and applications of probabilistic expert systems.§§This book was awarded the first DeGroot Prize by the International Society for Bayesian Analysis for a book making an important, timely, thorough, and notably original contribution to the statistics literature.

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