Prof. Dan Geiger

Prof. Dan Geiger

Contact information
Homepage:
http://www.cs.technion.ac.il/~dang/
Email:
dang[at]cs.technion.ac.il
Office:
616
Phone:
4339
Office Hours:
Tuesday,10:30-11:30
Research interests
Bayesian statistics; Artificial Intelligence; Genetic linkage analysis.
Selected publications
BECKER, A., GEIGER, D., and SCHÄFFER, A., "Automaticselection of loop breakers for genetic linkage analysis",Human Heredity, Vol. 48, No.1, pp. 49-60, 1998.

GEIGER, D., and HECKERMAN, D., "A characterization of theDirichlet distribution through global and local parameterindependence", Annals of Statistics, Vol. 25, No. 3, pp.1344-1369, 1997.

FRIEDMAN, N., GEIGER, D., and GOLDSZMIDT, M., "Bayesiannetworks classifiers", Machine Learning, Vol. 29, pp.131-163, 1997.

BECKER, A., and GEIGER, D., "Optimization of Pearl's methodof conditioning and greedy-like approximation algorithms for thevertex feedback set problem", Artificial IntelligenceJournal, Vol. 83, pp. 1-22, 1996.

HECKERMAN, D., GEIGER, D., and CHICKERING, M., "LearningBayesian networks: The combination of knowledge and statisticaldata", Machine Learning, Vol. 20, No. 3, pp. 197-243, 1995.

GEIGER, D., and PEARL, J., "Logical and algorithmicproperties of conditional independence and graphicalmodels", Annals of Statistics, Vol. 21, pp. 2001-2021, 1993.

SILBERSTEIN, M., TZEMACH, A., DOVGOLEVSKY, N., FISHELSON, M., SCHUSTER, A., GEIGER D., "On-line System for Faster Linkage Analysis via Parallel Execution on Thousands of Personal Computers", American Journal of Human Genetics, Vol 78, pp. 922-935, 2006.

FISHELSON, M. GEIGER D., "Optimizing exact genetic linkage computations", Journal of Computational Biology, Vol 11, pp. 263--275, 2004.

BECKER, A., GEIGER, D., and SCHAFFER, A., "Automatic selection of loop breakers for genetic linkage analysis", Human Heredity, Vol. 48, No.1, pp. 49-60, 1998.

FRIEDMAN, N., GEIGER, D., and GOLDSZMIDT, M., "Bayesian networks classifiers", Machine Learning, Vol. 29, pp. 131-163, 1997.

HECKERMAN, D., GEIGER, D., and CHICKERING, M., "Learning Bayesian networks: The combination of knowledge and statistical data", Machine Learning, Vol. 20, No. 3, pp. 197-243, 1995.

GEIGER, D., and PEARL, J., "Logical and algorithmic properties of conditional independence and graphical models", Annals of Statistics, Vol. 21, pp. 2001-2021, 1993.