Probabilistic Conditional Independence Structures (Hardcover) (ISBN-13: 9781852338916)

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.

Author: Milan Studeny
ISBN-10: 1852338911
ISBN-13: 9781852338916
Publisher: Springer
Language: English
Published: 01/07/2005
Pages: 285
Format: Hardcover
Weight: 1.21lbs
Size: 9.46h x 6.50w x 0.74d