Kniha Probabilistic Conditional Independence Structures Milan Studeny

Probabilistic Conditional Independence Structures

Autor: Milan Studeny
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer London Ltd
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
2 286
Conditional independence is a topic that lies between statistics and artificial intelligence. Probab...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2010
Stránek
285
EAN
9781849969482
ISBN
1849969485
Enbook ID
01434830
Hmotnost
418
Rozměry
156 x 232 x 17

Kompletní popis

Conditional independence is a topic that lies between statistics and artificial intelligence. 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.§Probabilistic Conditional Independence Structures will be a valuable new addition to the literature, and will interest applied mathematicians, statisticians, informaticians, computer scientists and probabilists with an interest in artificial intelligence. The book may also interest pure mathematicians as open problems are included.§Milan Studený is a senior research worker at the Academy of Sciences of the Czech Republic.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.

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