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Bayesian networks : = an introduction /

Noble, John M.

Bayesian networks : = an introduction /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bayesian networks :/ Timo Koski, John M. Noble.
其他題名:	an introduction /
作者:	Koski, Timo.
其他作者:	Noble, John M.
出版者:	Chichester, West Sussex, UK :Wiley, : 2009.,
面頁冊數:	viii, 347 p. :ill. ; : 25 cm.;
標題:	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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245 1 0 $a Bayesian networks : $b an introduction / $c Timo Koski, John M. Noble.
260 # $a Chichester, West Sussex, UK : $c 2009. $b Wiley,
300 $a viii, 347 p. : $b ill. ; $c 25 cm.
490 1 $a Wiley series in probability and statistics
504 $a Includes bibliographical references (p. [335]-341) and index.
505 0 # $a 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.
650 # 0 $a Bayesian statistical decision theory. $3 527671
650 # 0 $a Neural networks (Computer science) $3 528588
700 1 # $a Noble, John M. $3 984785
830 0 $a Wiley series in probability and statistics. $3 632980