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Probabilistic conditional independence structures

Author: Milan Studený
Publisher: New York : Springer, 2005.
Series: Information science and statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"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,  Read more...
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Additional Physical Format: Print version:
Studený, Milan.
Probabilistic conditional independence structures.
New York : Springer, 2005
(DLC) 2004059834
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Milan Studený
ISBN: 1852338911 9781852338916 1846280834 9781846280832
OCLC Number: 228381868
Description: 1 online resource (xiv, 285 pages) : illustrations.
Contents: Basic Concepts.- Graphical Methods.- Structural Imsets: Fundamentals.- Description of Probabilistic Models.- Equivalence and Implication.- The Problem of Representative Choice.- Learning.- Open Problems.
Series Title: Information science and statistics.
Responsibility: Milan Studený.

Abstract:

Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; The monograph presents the methods of structural imsets  Read more...

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From the reviews:"This monograph aims to present methods of structural imsets and supermodel functions and considers the independence implication and equivalence of structural imsets. Dr. Studeny Read more...

 
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