Probabilistic Conditional Independence Structures - Milan Studeny
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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, m ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Milan Studeny |
|---|---|
| Izdevējs | Springer London |
| Series | Information Science and Statistics |
| Izlaides gads | 2010 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781849969482 |