Książka Probabilistic Networks and Expert Systems Robert G. Cowell

Probabilistic Networks and Expert Systems

Exact Computational Methods for Bayesian Networks

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
502.27
Winner of the 2002 DeGroot Prize. §§Probabilistic expert systems are graphical networks that support...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2007
strony
324
EAN
9780387718231
ISBN
0387718230
Enbook ID
01382507
Waga
508
Wymiary
234 x 157 x 22

Pełny opis

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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