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. E. Nicholson},
title = {Bayesian Artificial Intelligence},
publisher = {Chapman \& Hall /CRC},
year = {2003}
}
@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}
}
@book{neapolitan,
author = {R. E. Neapolitan},
publisher = {Prentice Hall},
title = {Learning Bayesian Networks},
year = {2003}
}
@inproceedings{669467,
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},
journal = {Machine Learning},
month = {September},
number = {3},
pages = {197--243},
title = {Learning Bayesian Networks: The Combination of Knowledge and Statistical Data},
volume = {20},
year = {1995},
note = {Available as Technical Report MSR-TR-94-09}
}
@techreport{heckerman3,
author = {D. Geiger and D. Heckerman},
title = {Learning Gaussian Networks},
institution = {Microsoft Research},
year = {1994},
note = {Available as Technical Report MSR-TR-94-10}
}
@book{pesarin,
author = {F. Pesarin},
publisher = {Wiley},
title = {Multivariate Permutation Tests With Applications in Biostatistics},
year = {2001}
}
@article{legendre,
author = {P. Legendre},
journal = {Journal of Statistical Computation and Simulation},
pages = {37--73},
title = {Comparison of Permutation Methods for the Partial Correlation and Partial Mantel Tests},
volume = {67},
year = {2000}
}
@book{edwards,
author = {D. I. Edwards},
title = {Introduction to Graphical Modelling},
edition = {2nd},
publisher = {Springer},
year = {2000}
}
@inproceedings{bnboot,
author = {Nir Friedman and Moises Goldszmidt and Abraham 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--20}
}
@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},
booktitle = {Proceedings of the 2nd European Conference on Artificial Intelligence in Medicine},
pages = {247--256},
publisher = {Springer-Verlag},
title = {The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks},
url = {http://www.cs.huji.ac.il/labs/compbio/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},
publisher = {Wiley},
title = {Graphical Models in Applied Multivariate Statistics},
year = {1990}
}
@book{causality,
title = {Causality: Models, Reasning and Inference},
author = {J. Pearl},
publisher = {Cambridge University Press},
year = {2000}
}
@article{mvber,
title = {Structure Variability in Bayesian Networks},
author = {M. Scutari},
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}
}
@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}
}
@misc{bnrepository,
author = {G. Elidan},
title = {Bayesian Network Repository},
note = {{http://www.cs.huji.ac.il/labs/compbio/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}
}
@techreport{melancon2,
author = {G. Melan\c{c}on and I. Dutour and M. Bousquet-M{\'e}lou},
title = {Random Generation of Dags for Graph Drawing},
institution = {Centre for Mathematics and Computer Sciences, Amsterdam},
number = {INS-R0005},
year = {2000}
}
@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}
}
