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Probabilistic Conditional Independence Structures

Name: Probabilistic Conditional Independence Structures
Brand: Springer London Ltd
SKU: 9781849969482
Price: 553.98 RON
Availability: InStock

Autor: Milan Studeny

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Editura: Springer London Ltd

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Conditional independence is a topic that lies between statistics and artificial intelligence. Probab...

Informații despre carte

Autor

Milan Studeny

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

285

EAN

9781849969482

ISBN

1849969485

Enbook ID

01434830

Editura

Springer London Ltd

Greutate

418

Dimensiuni

156 x 232 x 17

Descriere completă

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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