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Bayesian networks : = an introduction /
~
Noble, John M.
Bayesian networks : = an introduction /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Bayesian networks :/ Timo Koski, John M. Noble.
Reminder of title:
an introduction /
Author:
Koski, Timo.
other author:
Noble, John M.
Published:
Chichester, West Sussex, UK :Wiley, : 2009.,
Description:
viii, 347 p. :ill. ; : 25 cm.;
Subject:
Bayesian statistical decision theory. -
ISBN:
9780470743041 (hbk.) :
Bayesian networks : = an introduction /
Koski, Timo.
Bayesian networks :
an introduction /Timo Koski, John M. Noble. - Chichester, West Sussex, UK :Wiley,2009. - viii, 347 p. :ill. ;25 cm. - Wiley series in probability and statistics. - Wiley series in probability and statistics..
Includes bibliographical references (p. [335]-341) and index.
Graphical models and probabilistic reasoning -- Conditional independence, graphs and d-separation -- Evidence, sufficiency and Monte Carlo methods -- Decomposable graphs and chain graphs -- Learning the conditional probability potentials -- Learning the graph structure -- Parameters and sensitivity -- Graphical models and exponential families -- Causality and intervention calculus -- The junction tree and probability updating -- Factor graphs and the sum product algorithm.
ISBN: 9780470743041 (hbk.) :NT1280
LCCN: 2009031404
Nat. Bib. No.: 015-30748bnbSubjects--Topical Terms:
527671
Bayesian statistical decision theory.
LC Class. No.: QA279.5 / .K675 2009
Dewey Class. No.: 519.5/42
Bayesian networks : = an introduction /
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Bayesian networks :
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an introduction /
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Timo Koski, John M. Noble.
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Chichester, West Sussex, UK :
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2009.
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Wiley,
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viii, 347 p. :
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ill. ;
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25 cm.
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Wiley series in probability and statistics
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Includes bibliographical references (p. [335]-341) and index.
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Graphical models and probabilistic reasoning -- Conditional independence, graphs and d-separation -- Evidence, sufficiency and Monte Carlo methods -- Decomposable graphs and chain graphs -- Learning the conditional probability potentials -- Learning the graph structure -- Parameters and sensitivity -- Graphical models and exponential families -- Causality and intervention calculus -- The junction tree and probability updating -- Factor graphs and the sum product algorithm.
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Bayesian statistical decision theory.
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Noble, John M.
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Wiley series in probability and statistics.
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632980
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2 records • Pages 1 •
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2 records • Pages 1 •
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