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Probabilistic Conditional Independence Structures

Name: Probabilistic Conditional Independence Structures
Brand: Springer London Ltd
SKU: 9781849969482
Price: 38435 HUF
Availability: InStock

Szerző: Milan Studeny

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer London Ltd

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

38 435 Ft

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

Információk a könyvről

Szerző

Milan Studeny

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

285

EAN

9781849969482

ISBN

1849969485

Enbook ID

01434830

Kiadó

Springer London Ltd

Súly

418

Méretek

156 x 232 x 17

Teljes leírás

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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Probabilistic Conditional Independence Structures

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