A Bayesian Approach to Causal Discovery (1997)

Cached

Download Links

by David Heckerman , Christopher Meek , Gregory Cooper
Citations:79 - 1 self

Documents Related by Co-Citation

7069 Probabilistic Reasoning in Intelligent Systems – J Pearl - 1988
913 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
1081 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, Tom Dietterich - 1992
510 Causation, Prediction and Search – P Sprites, C Glymour, R Scheines - 1993
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
1129 Causality: Models, Reasoning, and Inference – J Pearl - 2000
184 Theory Refinement on Bayesian Networks – Wray Buntine - 1991
900 An Introduction to Bayesian Networks – F V Jensen - 1996
731 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
181 Learning Bayesian network structure from massive datasets: The “sparse candidate” algorithm – Nir Friedman - 1999
645 Approximating discrete probability distributions with dependence trees – C. I<. Chow, Sexior Member, C. N. Liu - 1968
208 A Theory Of Inferred Causation – Judea Pearl, T.S. Verma - 1991
587 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
45 Learning Bayesian Networks: A unification for discrete and Gaussian domains – David Heckerman, Dan Geiger - 1995
3917 Pattern Classification and Scene Analysis – R O Duda, P Hart - 1973
4251 A tutorial on hidden markov models and selected applications in speech recognition – Lawrence R. Rabiner - 1989
216 The EM algorithm for graphical association models with missing data – S L Lauritzen - 1995
1124 Graphical Models – S L Lauritzen - 1996
738 UCI repository of machine learning databases. [Machine-readable data repository.] Irvine, CA: University of California, Department of Information and Computer – P M Murphy, D W Aha - 1994