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Information Science and Statistics

Information Science and Statistics

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Information Science and Statistics

Studeny, Milan

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.

Details

Published by: Springer

Publication Date: 2010-10-21

Format: Paperback

ISBN-13: 9781849969482

DOI: 10.1007/b138557

Dimensions: 235cm x155cm

Pages: 285

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