Probabilistic Conditional Independence Structures (Information Science and Statistics) - Tapa blanda

Libro 5 de 19: Information Science and Statistics

Studeny, Milan

 
9781849969482: Probabilistic Conditional Independence Structures (Information Science and Statistics)
Tapa blanda
ISBN 10: 1849969485 ISBN 13: 9781849969482
Editorial: Springer, 2010

Sinopsis

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.

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De la contraportada

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.

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Editorial
Springer
Año de publicación
2010
Idioma
Inglés
ISBN 10 
1849969485
ISBN 13 
9781849969482
Encuadernación
Tapa blanda
Número de páginas
300
Contacto del fabricante
no disponible
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Otras ediciones populares con el mismo título

9781852338916: Probabilistic Conditional Independence Structures (Information Science and Statistics)

Edición Destacada

ISBN 10:  1852338911 ISBN 13:  9781852338916
Editorial: Springer, 2005
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