Science/Engineering Probabilistic Conditional Independence Structures (Information Science and Statistics) (1852338911)

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Probabilistic Conditional Independence Structures (Information Science and Statistics) Publisher: Springer

Number Of Pages: 285

Publication Date: 2004-11-24

Sales Rank: 1871704

ISBN / ASIN: 1852338911

EAN: 9781852338916

Binding: Hardcover

Manufacturer: Springer

Studio: Springer Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence Structures provides read.freeduan.com 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

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	Science/Engineering Information and Complexity in Statistical Modeling (Information Science and Statistics) Publisher: Springer; 1 editionLanguage: EnglishISBN: 0387366105Paperback: 144 pagesData: January 25, 2007Format: PDFDescription: No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which ...
	Science/Engineering Bayesian Networks and Probabilistic Inference in Forensic Science (Statistics in Practice) Bayesian Networks and Probabilistic Inference in Forensic Science (Statistics in Practice) Wiley \| 2006-04-28 \| ISBN: 0470091738 \| 372 pages \| PDF \| 2MB The amount of information forensic scientists are able to offer is ever ...
	Science/Engineering Probabilistic Conditional Independence Structures Probabilistic Conditional Independence StructuresPublisher: Springer \| Pages: 285 \| 2004-11-24 \| ISBN 1852338911 \| PDF \| 2 MBConditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Condit ...
	Science/Engineering Bayesian Networks and Decision Graphs (Information Science and Statistics) Finn V. Jensen, Thomas D. Nielsen, "Bayesian Networks and Decision Graphs (Information Science and Statistics)"Springer \| 2007-06-06 \| ISBN: 0387682813 \| 448 pages \| PDF \| 2,7 MBProbabilistic graphical models and decision graphs are powerfu ...
	Science/Engineering Probabilistic Networks and Expert Systems (Information Science and Statistics) Probabilistic Networks and Expert Systems (Information Science and Statistics): Robert G. Cowell, A.Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter Springer \| ISBN: 0387987673 \| 2003-05-20 \| PDF (OCR) \| 340 pages \| 3.09 Mb Winne ...
	Technical Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics) ISBN: 0387987673 Publisher: Springer Author: Robert G. Cowell, Philip Dawid, Steffen L. Lauritzen, David J. SpiegelhalterDescription:Winner of the 2002 DeGroot Prize. Awarded by the International Society for Bayesian Analysis to a book judg ...

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