Probabilistic Conditional Independence Structures



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Éditeur :

Springer


Collection :

Information Science and Statistics

Paru le : 2006-06-22



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Description
Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and takes an algebraic approach. The monograph presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets. Motivation, mathematical foundations and areas of application are included, and a rough overview of graphical methods is also given. In particular, the author has been careful to use suitable terminology, and presents the work so that it will be understood by both statisticians, and by researchers in artificial intelligence. The necessary elementary mathematical notions are recalled in an appendix.
Pages
285 pages
Collection
Information Science and Statistics
Parution
2006-06-22
Marque
Springer
EAN papier
9781852338916
EAN PDF
9781846280832

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
2120 Ko
Prix
108,89 €