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Context-specific independence in graphical log-linear models

Context-specific independence in graphical log-linear models

Computational statistics (Zeitschrift) (CSZ), 2014
9 September 2014
Henrik J. Nyman
J. Pensar
T. Koski
J. Corander
ArXiv (abs)PDFHTML

Papers citing "Context-specific independence in graphical log-linear models"

5 / 5 papers shown
Explaining Deep Tractable Probabilistic Models: The sum-product network
  case
Explaining Deep Tractable Probabilistic Models: The sum-product network case
Athresh Karanam
Saurabh Mathur
P. Radivojac
David M. Haas
Kristian Kersting
Sriraam Natarajan
FAttTPMLRM
332
3
0
19 Oct 2021
Staged trees and asymmetry-labeled DAGs
Staged trees and asymmetry-labeled DAGsMetrika (Heidelberg) (Metrika), 2021
Gherardo Varando
Federico Carli
Manuele Leonelli
229
16
0
04 Aug 2021
Structure Learning of Contextual Markov Networks using Marginal
  Pseudo-likelihood
Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood
J. Pensar
Henrik J. Nyman
J. Corander
BDL
148
7
0
29 Mar 2021
Efficient comparison of independence structures of log-linear models
Efficient comparison of independence structures of log-linear modelsComputer/law journal (JCL), 2019
Jan Strappa
F. Bromberg
274
0
0
21 Jul 2019
Blankets Joint Posterior score for learning Markov network structures
Blankets Joint Posterior score for learning Markov network structures
F. Schlüter
Yanela Strappa
Diego H. Milone
F. Bromberg
231
5
0
08 Aug 2016
1
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