@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}
}