Consistent model selection of discrete Bayesian networks from incomplete data

DOI10.1214/13-EJS802zbMath1336.62087arXiv1105.4507MaRDI QIDQ1951147

Nikolay Balov

Publication date: 29 May 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1105.4507

zbMATH Keywords

Bayesian networksmodel selectionmissing completely at randomcategorical datapenalized maximum likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Bayesian inference (62F15) Graphical methods in statistics (62A09)

Related Items (4)

Bayesian network models for incomplete and dynamic data ⋮ Being Bayesian about learning Gaussian Bayesian networks from incomplete data ⋮ Learning Bayesian networks from incomplete data with the node-average likelihood ⋮ Greedy structure learning from data that contain systematic missing values

Uses Software

• catnet

Cites Work

• Unnamed Item
• The EM algorithm for graphical association models with missing data
• On the choice of a model to fit data from an exponential family
• A Bayesian method for the induction of probabilistic networks from data
• Estimating the dimension of a model
• Bayesian analysis in expert systems. With comments and a rejoinder by the authors
• Stratified exponential families: Graphical models and model selection
• Asymptotic Statistics
• 10.1162/153244303321897717

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