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Comparing Score-Based Methods for Estimating Bayesian Networks Using the Kullback–Leibler Divergence

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Publication:5249179
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DOI10.1080/03610926.2012.735329zbMath1314.62086arXiv1009.1463OpenAlexW2145661806MaRDI QIDQ5249179

Patty Solomon, Jessica Kasza

Publication date: 29 April 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1009.1463


zbMATH Keywords

gene regulatory networksvariance componentsKullback-Leibler divergencehigh-dimensional dataBayesian networkexogenous variables


Mathematics Subject Classification ID

Bayesian inference (62F15) Measures of information, entropy (94A17)


Related Items

Kullback-Leibler divergence: a quantile approach



Cites Work

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  • Parameter priors for directed acyclic graphical models and the characterization of several probability distributions
  • The max-min hill-climbing Bayesian network structure learning algorithm
  • The asymptotic expansion of a ratio of gamma functions
  • ESTIMATING BAYESIAN NETWORKS FOR HIGH-DIMENSIONAL DATA WITH COMPLEX MEAN STRUCTURE AND RANDOM EFFECTS
  • On Information and Sufficiency
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