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Graphical models for categorical data /

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Roverato, Alberto.

Graphical models for categorical data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Graphical models for categorical data /Alberto Roverato.
Author:	Roverato, Alberto.
Published:	Cambridge, United Kingdom :Cambridge University Press,2017.
Description:	vii, 152 p. :ill. ;23 cm.
Subject:	Graphical modeling (Statistics)
ISBN:	9781108404969 (pbk.) :

Graphical models for categorical data /
Roverato, Alberto.

Graphical models for categorical data /Alberto Roverato. - Cambridge, United Kingdom :Cambridge University Press,2017. - vii, 152 p. :ill. ;23 cm. - SemStat elements. - SemStat elements.

Includes bibliographical references (p. 146-152)

For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results. --

ISBN: 9781108404969 (pbk.) :NT$906Subjects--Topical Terms:

191008
Graphical modeling (Statistics)

LC Class. No.: QA279 / .R873 2017

Dewey Class. No.: 519.538

Graphical models for categorical data /
LDR:00996nam a2200181 a 4500 001 524833
008 180822s2017 enka b 000 0 eng d
020 $a 9781108404969 (pbk.) : $c NT$906
020 $a 1108404960 (pbk.)
040 $a YDX $b eng $e rda $c YDX $d NLE $d YDX $d OCLCF $d OCLCO $d TKN $d INU $d FIE $d NAM $d U3G
041 0 $a eng
050 0 0 $a QA279 $b .R873 2017
082 0 0 $a 519.538 $2 23
100 1 $a Roverato, Alberto. $3 796775
245 1 0 $a Graphical models for categorical data / $c Alberto Roverato.
260 $a Cambridge, United Kingdom : $b Cambridge University Press, $c 2017.
300 $a vii, 152 p. : $b ill. ; $c 23 cm.
490 1 $a SemStat elements
504 $a Includes bibliographical references (p. 146-152)
520 $a For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results. -- $c Provided by publisher.
650 0 $a Graphical modeling (Statistics) $3 191008
830 0 $a SemStat elements $3 796776

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QA279 R873 2017

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