Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probalistic Network Construction Using the Minimum Description Length Principle
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
A theoretical characterization of linear SVM-based feature selection
ICML '04 Proceedings of the twenty-first international conference on Machine learning
On the incompatibility of faithfulness and monotone DAG faithfulness
Artificial Intelligence
Homogeneity, selection, and the faithfulness condition
Minds and Machines
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
The Journal of Machine Learning Research
Detection of Unfaithfulness and Robust Causal Inference
Minds and Machines
Causal Reasoning with Ancestral Graphs
The Journal of Machine Learning Research
Minimal separators in dependency structures: Properties and identification
Cybernetics and Systems Analysis
Probabilistic Methods for Financial and Marketing Informatics
Probabilistic Methods for Financial and Marketing Informatics
Causal Ambiguity, Complexity, and Capability-Based Advantage
Management Science
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Bounding the false discovery rate in local Bayesian network learning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Faithfulness in chain graphs: The discrete case
International Journal of Approximate Reasoning
On the incompatibility of faithfulness and monotone DAG faithfulness
Artificial Intelligence
A multi-agent systems approach to distributed bayesian information fusion
Information Fusion
The Journal of Machine Learning Research
Learning Gaussian graphical models of gene networks with false discovery rate control
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Introduction to Causal Inference
The Journal of Machine Learning Research
Causal inference using the algorithmic Markov condition
IEEE Transactions on Information Theory
Graphical Methods, Inductive Causal Inference, and Econometrics: A Literature Review
Computational Economics
Quantifier elimination for statistical problems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Causal inference in the presence of latent variables and selection bias
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Strong faithfulness and uniform consistency in causal inference
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning Causal Relations in Multivariate Time Series Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Conservative independence-based causal structure learning in absence of adjacency faithfulness
International Journal of Approximate Reasoning
Reading dependencies from covariance graphs
International Journal of Approximate Reasoning
Replacing Causal Faithfulness with Algorithmic Independence of Conditionals
Minds and Machines
On semantics of inference in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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A completeness result for d-separation applied to discrete Bayesian networks is presented and it is shown that in a strong measure-theoretic sense almost all discrete distributions for a given network structure are faithful; i.e. the independence facts true of the distribution are all and only those entailed by the network structure