Andere Kunden interessierten sich auch für
![Probabilistic Networks and Expert Systems]( "Probabilistic Networks and Expert Systems")
Probabilistic Networks and Expert Systems138,99 €![Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis]( "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis")
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis57,99 €![Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis]( "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis")
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis95,99 €![Bayesian Networks and Decision Graphs]( "Bayesian Networks and Decision Graphs")
Bayesian Networks and Decision Graphs144,99 €![Advances in Bayesian Networks]( "Advances in Bayesian Networks")
Advances in Bayesian Networks83,99 €![Bayesian Learning for Neural Networks]( "Bayesian Learning for Neural Networks")
Bayesian Learning for Neural Networks142,99 €![Selecting Models from Data]( "Selecting Models from Data")
Selecting Models from Data83,99 €
The work reviewed in this book represents the synthesis of two important developments in modelling of complex stochastic phenomena. The book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms.
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
From the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "This important book fills a void in the graphical Markov models literature. The authors have summarized their extensive and influential work in this area and provided a valuable resource both for educators and for practitioners."