LEARNING LIKELIHOOD-EQUIVALENCE BAYESIAN NETWORKS USING AN EMPIRICAL BAYESIAN APPROACH

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Behaviormetrika

• Publication date

  2008-07-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.2333/BHMK.35.115
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Probabilistic reasoning in expert systems - theory and algorithms

  2012cited by this paper
• Learning Bayesian networks

  2007influential reference
• On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter

  2007cited by this paper
• A Bayesian Approach to Causal Discovery

  2006influential reference
• Model Averaging for Prediction with Discrete Bayesian Networks

  2004cited by this paper
• A Bayesian Method for the Induction of Probabilistic Networks from Data

  2004influential reference
• A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors

  2002cited by this paper
• On the Dirichlet Prior and Bayesian Regularization

  2002influential reference
• Bayesian Networks and Decision Graphs

  2001cited by this paper
• The Use of Information Theory in the Construction of a Bayesian Belief Network: A Case Study

  2000cited by this paper
• Learning Bayesian Belief Networks Based on the MDL Principle : An Efficient Algorithm Using the Branch and Bound Technique

  1999influential reference
• A Tutorial on Learning with Bayesian Networks

  1999cited by this paper
• Learning Bayesian Nets that Perform Well

  1997cited by this paper
• {36 () Bayesian Network Classiiers. *

  1997cited by this paper
• Bayesian Network Classifiers

  1997cited by this paper
• Comparison of score metrics for Bayesian network learning

  1996cited by this paper
• Graphical belief modeling

  1995influential reference
• LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE

  1994influential reference
• Learning Bayesian networks: The combination of knowledge and statistical data

  1994influential reference
• Minimum Description Length Principle

  1994influential reference
• Properties of Bayesian Belief Network Learning Algorithms

  1994influential reference
• A Construction of Bayesian Networks from Databases Based on an MDL Principle

  1993influential reference
• Causation, prediction, and search

  1993cited by this paper
• Bayesian analysis in expert systems

  1993cited by this paper
• A Bayesian method for the induction of probabilistic networks from data

  1992influential reference
• Theory Refinement on Bayesian Networks

  1991cited by this paper
• On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models

  1990cited by this paper
• Maximum likelihood principle and model selection when the true model is unspecified

  1988cited by this paper
• Modeling By Shortest Data Description*

  1978cited by this paper
• A new look at the statistical model identification

  1974influential reference
• Bayesian inference in statistical analysis

  1973cited by this paper
• Approximating discrete probability distributions with dependence trees

  1968cited by this paper
• Ieee Transactions on Knowledge and Data Engineering, to Appear Final Draft 1 a Guide to the Literature on Learning Probabilistic Networks from Data

  year unknowncited by this paper

• Clinically Explainable Prediction of Immunotherapy Response Integrating Radiomics and Clinico-Pathological Information in Non-Small Cell Lung Cancer

  2025cites this paper
• Evaluation of Bayesian network scoring functions in polychotomous data analysis

  2025cites this paper
• Bayesian Network Model Averaging Classifiers by Subbagging

  2022influential citation
• Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables

  2021cites this paper
• Learning Huge Bayesian Network Structures Using the Transitivity

  2019cites this paper
• Exact Learning Augmented Naive Bayes Classifier

  2019cites this paper
• Probabilistic Graphical Models PGM Prague 2018

  2018cites this paper
• Learning Huge Bayesian Networks by RAI Algorithm Using Bayes Factor

  2018cites this paper
• Exact learning augmented naive Bayes classifier

  2018influential citation
• Branch and Bound for Regular Bayesian Network Structure Learing

  2017cites this paper
• Social constructivist approach of motivation: social media messages recommendation system

  2017cites this paper
• Consistent Learning Bayesian Networks with Thousands of Variables

  2017cites this paper
• Proceedings of the Ninth Workshop on Information Theoretic Methods in Science and Engineering, Helsinki, Finland, September 19-21, 2016

  2016cites this paper
• A theoretical analysis of the BDeu scores in Bayesian network structure learning

  2016cites this paper
• Bayesian Analysis of Graphical Models of Marginal Independence for Three Way Contingency Tables

  2012cites this paper
• Learning Bayesian networks using minimum free energy principle

  2009cites this paper