References in BibTeX format
@book{agresti,
author = {A. Agresti},
publisher = {Wiley-Interscience},
title = {{Categorical Data Analysis}},
series = {Wiley Series in Probability and Statistics},
edition = {2nd},
year = {2002}
}
@book{korb,
author = {K. Korb and A. Nicholson},
publisher = {Chapman and Hall},
title = {{Bayesian Artificial Intelligence}},
edition = {2nd},
year = {2010}
}
@phdthesis{mphd,
author = {D. Margaritis},
title = {{Learning Bayesian Network Model Structure from Data}},
school = {School of Computer Science, Carnegie-Mellon University},
address = {Pittsburgh, PA},
month = {May},
year = {2003},
note = {Available as Technical Report CMU-CS-03-153}
}
@book{pearl,
author = {J. Pearl},
title = {{Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference}},
publisher = {Morgan Kaufmann},
year = {1988}
}
@inproceedings{iamb,
author = {I. Tsamardinos and C. F. Aliferis and A. Statnikov},
title = {{Algorithms for Large Scale Markov Blanket Discovery}},
booktitle = {{Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference}},
pages = {376--381},
year = {2003},
publisher = {AAAI Press}
}
@article{mmhc,
author = {I. Tsamardinos and L. E. Brown and C. F. Aliferis},
title = {{The Max-Min Hill-Climbing Bayesian Network Structure Learning Algorithm}},
journal = {Machine Learning},
volume = {65},
number = {1},
year = {2006},
pages = {31--78}
}
@inproceedings{fastiamb2,
author = {S. Yaramakala and D. Margaritis},
title = {{Speculative Markov Blanket Discovery for Optimal Feature Selection}},
booktitle = {{ICDM '05: Proceedings of the Fifth IEEE International Conference on Data Mining}},
year = {2005},
pages = {809--812},
publisher = {IEEE Computer Society}
}
@inproceedings{mmpc,
author = {I. Tsamardinos and C. F. Aliferis and A. Statnikov},
title = {{Time and Sample Efficient Discovery of Markov Blankets and Direct Causal Relations}},
booktitle = {{KDD '03: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}},
year = {2003},
pages = {673--678},
publisher = {ACM}
}
@inproceedings{hcopt,
author = {R. Daly and Q. Shen},
title = {{Methods to Accelerate the Learning of Bayesian Network Structures}},
booktitle = {{Proceedings of the 2007 UK Workshop on Computational Intelligence}},
publisher = {Imperial College, London},
year = {2007}
}
@inproceedings{chickering,
author = {D. M. Chickering},
title = {{A Transformational Characterization of Equivalent Bayesian Network Structures}},
booktitle = {{UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence}},
publisher = {Morgan Kaufmann},
year = {1995},
pages = {87--98}
}
@inproceedings{mixbde,
author = {G. F. Cooper and C. Yoo},
title = {{Causal Discovery from a Mixture of Experimental and Observational Data}},
booktitle = {{UAI '99: Proceedings of the Fifteenth Annual Conference on Uncertainty in Artificial Intelligence}},
publisher = {Morgan Kaufmann},
year = {1995},
pages = {116--125}
}
@book{neapolitan,
author = {R. E. Neapolitan},
title = {{Learning Bayesian Networks}},
publisher = {Prentice Hall},
year = {2003}
}
@inproceedings{idecozman,
author = {J. S. Ide and F. G. Cozman},
title = {{Random Generation of Bayesian Networks}},
booktitle = {{SBIA '02: Proceedings of the 16th Brazilian Symposium on Artificial Intelligence}},
pages = {366--375},
publisher = {Springer-Verlag},
year = {2002}
}
@article{heckerman,
author = {D. Heckerman and D. Geiger and D. M. Chickering},
title = {{Learning Bayesian Networks: The Combination of Knowledge and Statistical Data}},
journal = {Machine Learning},
month = {September},
number = {3},
pages = {197--243},
volume = {20},
year = {1995},
note = {Available as Technical Report MSR-TR-94-09}
}
@inproceedings{heckerman3,
author = {D. Geiger and D. Heckerman},
title = {{Learning Gaussian Networks}},
booktitle = {{Proceedings of the 10th Conference on Uncertainty in Artificial Intelligence}},
pages = {235--243},
year = {1994},
note = {Available as Technical Report MSR-TR-94-10}
}
@book{pesarin,
author = {F. Pesarin},
title = {{Multivariate Permutation Tests With Applications in Biostatistics}},
publisher = {Wiley},
year = {2001}
}
@article{legendre,
author = {P. Legendre},
title = {{Comparison of Permutation Methods for the Partial Correlation and Partial Mantel Tests}},
journal = {Journal of Statistical Computation and Simulation},
pages = {37--73},
volume = {67},
year = {2000}
}
@book{edwards,
author = {D. I. Edwards},
title = {{Introduction to Graphical Modelling}},
edition = {2nd},
publisher = {Springer},
year = {2000}
}
@inproceedings{bnboot,
author = {N. Friedman and M. Goldszmidt and A. Wyner},
title = {{Data Analysis with Bayesian Networks: A Bootstrap Approach}},
booktitle = {UAI '99: Proceedings of the 15th Annual Conference on Uncertainty in Artificial Intelligence},
publisher = {Morgan Kaufmann},
year = {1999},
pages = {196--205}
}
@article{imoto,
author = {S. Imoto and S. Y. Kim and H. Shimodaira and S. Aburatani and K. Tashiro and S. Kuhara and S. Miyano},
title = {{Bootstrap Analysis of Gene Networks Based on Bayesian Networks and Nonparametric Regression}},
journal = {Genome Informatics},
volume = {13},
pages = {369--370},
year = {2002}
}
@article{asia,
author = {S. L. Lauritzen and D. J. Spiegelhalter},
title = {{Local Computation with Probabilities on Graphical Structures and their Application to Expert Systems (with discussion)}},
journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
year = {1988},
volume = {50},
number = {2},
pages = {157--224}
}
@book{fienberg,
author = {S. E. Fienberg},
title = {{The Analysis of Cross-Classified Categorical Data}},
publisher = {Springer},
edition = {2nd},
year = {1980}
}
@article{schoener,
author = {T. W. Schoener},
title = {{The Anolis Lizards of Bimini: Resource Partitioning in a Complex Fauna}},
journal = {Ecology},
volume = {49},
number = {4},
pages = {704--726},
year = {1968}
}
@inproceedings{alarm,
author = {I. A. Beinlich and H. J. Suermondt and R. M. Chavez and G. F. Cooper},
title = {{The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks}},
booktitle = {{Proceedings of the 2nd European Conference on Artificial Intelligence in Medicine}},
pages = {247--256},
publisher = {Springer-Verlag},
url = {https://www.cse.huji.ac.il/~galel/Repository/Datasets/alarm/alarm.htm},
year = {1989}
}
@book{mardia,
author = {K. V. Mardia and J. T. Kent and J. M. Bibby},
title = {{Multivariate Analysis}},
publisher = {Academic Press},
year = {1979}
}
@book{whittaker,
author = {J. Whittaker},
title = {{Graphical Models in Applied Multivariate Statistics}},
publisher = {Wiley},
year = {1990}
}
@book{causality,
author = {J. Pearl},
title = {{Causality: Models, Reasoning and Inference}},
publisher = {Cambridge University Press},
edition = {2nd},
year = {2009}
}
@article{mvber,
author = {M. Scutari},
title = {{Structure Variability in Bayesian Networks}},
year = {2009},
journal = {ArXiv Statistics - Methodology e-prints},
eprint = {http://arxiv.org/abs/0909.1685}
}
@book{digraphs,
author = {J. Bang-Jensen and G. Gutin},
title = {{Digraphs: Theory, Algorithms and Applications}},
edition = {2nd},
publisher = {Springer},
year = {2009}
}
@article{mishrink,
author = {J. Hausser and K. Strimmer},
title = {{Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks}},
journal = {Statistical Applications in Genetics and Molecular Biology},
volume = {10},
pages = {1469-1484},
year = {2009}
}
@article{hailfinder,
author = {B. Abramson and J. Brown and W. Edwards and A. Murphy and R. L. Winkler},
title = {{Hailfinder: A Bayesian system for forecasting severe weather}},
journal = {International Journal of Forecasting},
volume = {12},
number = {1},
pages = {57--71},
year = {1996},
url = {https://www.cse.huji.ac.il/~galel/Repository/Datasets/hailfinder/hailfinder.htm}
}
@book{russel,
author = {S. J. Russell and P. Norvig},
publisher = {Prentice Hall},
title = {{Artificial Intelligence: A Modern Approach}},
year = {2009},
edition = {3rd}
}
@article{insurance,
author = {J. Binder and D. Koller and S. Russell and K. Kanazawa},
year = {1997},
title = {{Adaptive Probabilistic Networks with Hidden Variables}},
journal = {Machine Learning},
volume = {29},
number = {2--3},
pages = {213--244},
url = {https://www.cse.huji.ac.il/~galel/Repository/Datasets/insurance/insurance.htm}
}
@misc{bnrepository,
author = {G. Elidan},
title = {{Bayesian Network Repository}},
note = {{https://www.cse.huji.ac.il/~galel/Repository/}},
year = {2001}
}
@article{melancon,
author = {G. Melan\c{c}on and P. Fabrice},
title = {{Generating Connected Acyclic Digraphs Uniformly at Random}},
journal = {Information Processing Letters},
volume = {90},
number = {4},
year = {2004},
pages = {209--213}
}
@article{melancon2,
author = {G. Melan\c{c}on and I. Dutour and M. Bousquet-M{\'e}lou},
title = {{Random Generation of Directed Acyclic Graphs}},
journal = {Electronic Notes in Discrete Mathematics},
volume = {10},
pages = {202--207},
year = {2001}
}
@article{coronary,
author = {Z. Reinis and J. Pokorny and V. Basika and J. Tiserova and K. Gorican and D. Horakova and E. Stuchlikova and T. Havranek and F. Hrabovsky},
title = {{Prognostic Significance of the Risk Profile in the Prevention of Coronary Heart Disease}},
journal = {Bratisl Lek Listy},
volume = {76},
pages = {137--150},
year = {1981},
notes = {Published on Bratislava Medical Journal, in Czech}
}
@book{koller,
author = {D. Koller and N. Friedman},
title = {{Probabilistic Graphical Models: Principles and Techniques}},
publisher = {MIT Press},
year = {2009}
}
@article{jstatsoft09,
title = {{Learning Bayesian Networks with the bnlearn R Package}},
author = {M. Scutari},
journal = {Journal of Statistical Software},
year = {2010},
volume = {35},
number = {3},
pages = {1--22},
url = {http://www.jstatsoft.org/v35/i03/}
}
@book{borgelt,
title = {{Graphical Models: Representations for Learning, Reasoning and Data Mining}},
author = {C. Borgelt and R. Kruse and M. Steinbrecher},
edition = {2nd},
publisher = {Wiley},
year = {2009}
}
@article{ledoit,
title = {{Improved Estimation of the Covariance Matrix of Stock Returns with an Application to Portfolio Selection}},
author = {O. Ledoit and M. Wolf},
journal = {Journal of Empirical Finance},
volume = {10},
pages = {603--621},
year = {2003}
}
@phdthesis{hartemink,
title = {{Principled Computational Methods for the Validation and Discovery of Genetic Regulatory Networks}},
author = {A. J. Hartemink},
school = {School of Electrical Engineering and Computer Science, Massachusetts Institute of Technology},
year = {2001}
}
@article{chow-liu,
title = {{Approximating Discrete Probability Distributions With Dependence Trees}},
author = {C. K. Chow and C. N. Liu},
journal = {IEEE Transactions on Information Theory},
volume = {IT-14},
pages = {462--467},
year = {1968}
}
@article{aracne,
author = {A. A. Margolin and I. Nemenman and K. Basso and C. Wiggins and G. Stolovitzky and R. Favera and A. Califano},
title = {{ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context}},
journal = {BMC Bioinformatics},
volume = {7},
year = {2006},
number = {Suppl 1},
pages = {S7}
}
@inproceedings{aime11,
author = {M. Scutari and R. Nagarajan},
title = {{On Identifying Significant Edges in Graphical Models}},
year = {2011},
booktitle = {Proceedings of the Workshop `Probabilistic Problem Solving in Biomedicine' of the 13th Artificial Intelligence in Medicine (AIME) Conference},
pages = {15--27}
}
@techreport{extension,
author = {D. Dor and M. Tarsi},
title = {{A Simple Algorithm to Construct a Consistent Extension of a Partially Oriented Graph}},
institution = {UCLA, Cognitive Systems Laboratory},
year = {1992},
note = {Available as Technical Report R-185}
}
@article{hitonpc,
author = {C. F. Aliferis and A. Statnikov and I. Tsamardinos and S. Mani and X. D. Xenofon},
title = {{Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation}},
journal = {Journal of Machine Learning Research},
volume = {11},
year = {2010},
pages = {171--234}
}
@article{tan,
author = {N. Friedman and D. Geiger and M. Goldszmidt},
title = {{Bayesian Network Classifiers}},
journal = {Machine Learning},
volume = {29},
number = {2--3},
pages = {131--163},
year = {1997}
}
@incollection{sptests,
author = {I. Tsamardinos and G. Borboudakis},
title = {{Permutation Testing Improves Bayesian Network Learning}},
booktitle = {{Machine Learning and Knowledge Discovery in Databases}},
editor = {J. Balc{\'a}zar and F. Bonchi and A. Gionis and M. Sebag},
publisher = {Springer},
pages = {322--337},
year = {2010}
}
@book{useR10,
author = {R. Nagarajan and M. Scutari and S. L\`ebre},
title = {{Bayesian Networks in R with Applications in Systems Biology}},
series = {Use R! series},
publisher = {Springer},
year = {2013}
}
@article{csprior,
author = {R. Castelo and A. Siebes},
title = {{Priors on Network Structures. Biasing the Search for Bayesian Networks}},
journal = {International Journal of Approximate Reasoning},
volume = {24},
number = {1},
pages = {39--57},
year = {2000}
}
@article{bdla,
author = {A. Cano and M. G{\'o}mez-Olmedo and A. R. Masegosa and S. Moral},
title = {{Locally Averaged Bayesian Dirichlet Metrics for Learning the Structure and the Parameters of Bayesian Networks}},
journal = {International Journal of Approximate Reasoning},
volume = {54},
pages = {526--540},
year = {2013}
}
@article{suzuki16,
author = {J. Suzuki},
title = {{A Theoretical Analysis of the BDeu Scores in Bayesian Network Structure Learning}},
journal = {Behaviormetrika},
year = {2016},
volume = {44},
issue = {1},
pages = {97--116}
}
