Bayesian Networks Publications

Publications in Bayesian Networks

Explore the most influential research papers and scholarly works that have shaped Bayesian Networks. Use the concept filter below to focus on a specific sub-area of research.

Bayesian Networks

4.7K

Publications

313.4K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Bayes Factors Robert E. Kass, Adrian E. Raftery Journal of the American Statistical Association Bayes FactorBayesian HypothesisBayesian Decision TheoryQuantitative MethodsBayesian Statistic	1995	11.8K
JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling Martyn Plummer Software MaintenanceBayesian StatisticEngineeringSoftware EngineeringSoftware Analysis	2003	4.7K
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems Steffen L. Lauritzen, David J. Spiegelhalter Journal of the Royal Statistical Society Series B (Statistical Methodology) EngineeringNetwork AnalysisComputational ComplexityProbabilistic ComputationCausal Inference	1988	3.9K
A Bayesian Method for the Induction of Probabilistic Networks from Data Gregory F. Cooper, Edward H. Herskovits Machine Learning Bayesian StatisticEngineeringProbabilistic NetworksNetwork AnalysisBayesian Inference	1992	3.5K
Using Bayesian Networks to Analyze Expression Data Nir Friedman, Michal Linial, Iftach Nachman, Journal of Computational Biology Bayesian StatisticEngineeringGeneticsData ScienceData Mining	2000	3.3K
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman, Dan Geiger, David M. Chickering Machine Learning Bayesian StatisticBayesian StatisticsEngineeringMachine LearningData Science	1995	3.2K
Estimating Continuous Distributions in Bayesian Classifiers George H. John, Pat Langley arXiv (Cornell University) Bayesian StatisticEngineeringMachine LearningNonparametric Density EstimationAssuming Normality	2013	2.9K
A Practical Bayesian Framework for Backpropagation Networks David Mackay Neural Computation Model OptimizationEngineeringMachine LearningData ScienceBayesian Hierarchical Modeling	1992	2.9K
A Bayesian method for the induction of probabilistic networks from data Gregory F. Cooper, Edward H. Herskovits Machine Learning Bayesian StatisticEngineeringProbabilistic NetworksNetwork AnalysisBayesian Inference	1992	2.3K
Bayes Factors Robert E. Kass, Adrian E. Raftery Journal of the American Statistical Association Bayes FactorBayesian HypothesisBayesian Decision TheoryQuantitative MethodsBayesian Statistic	1995	2.3K
Learning Bayesian networks: The combination of knowledge and statistical data David Heckerman, Dan Geiger, David M. Chickering Machine Learning Bayesian StatisticBayesian StatisticsEngineeringMachine LearningData Science	1995	2K
The BUGS project: Evolution, critique and future directions David J. Lunn, David J. Spiegelhalter, Andrew C. Thomas, Statistics in Medicine Software MaintenanceBayesian StatisticEngineeringSoftware EngineeringSoftware Analysis	2009	1.9K

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