Studeny Probabilistic Conditional Independence Structures
1. Auflage 2006
ISBN: 978-1-84628-083-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 285 Seiten, eBook
Reihe: Information Science and Statistics
ISBN: 978-1-84628-083-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Basic Concepts.- Graphical Methods.- Structural Imsets: Fundamentals.- Description of Probabilistic Models.- Equivalence and Implication.- The Problem of Representative Choice.- Learning.- Open Problems.
