scientific article; zbMATH DE number 6982334

zbMath1467.62093MaRDI QIDQ4558191

Xu-Qing Liu, Xinsheng Liu

Publication date: 21 November 2018

Full work available at URL: http://jmlr.csail.mit.edu/papers/v19/14-033.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

Markov boundaryBayesian networkMarkov blanketMarkov blanket supplementaryMarkov boundary supplementary

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• LIBSVM
• BNT
• bnlearn

Cites Work

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• The max-min hill-climbing Bayesian network structure learning algorithm
• Smoothing of likelihood ratio statistic for equiprobable multinomial goodness-of-fit
• Towards scalable and data efficient learning of Markov boundaries
• Learning Bayesian networks from data: An information-theory based approach
• Conservative independence-based causal structure learning in absence of adjacency faithfulness
• A GENERAL METHOD FOR APPROXIMATING TO THE DISTRIBUTION OF LIKELIHOOD RATIO CRITERIA
• Pearson's X 2 and the Loglikelihood Ratio Statistic G 2 : A Comparative Review
• Improved likelihood ratio tests and pearson chi-square tests for independence in two dimensional contingency tables
• Improved likelihood ratio test for multinomial goodness of fit
• Elements of Information Theory
• Some Methods for Strengthening the Common χ 2 Tests
• Random forests

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