Dan Geiger is affiliated with the Technion - Israel Institute of Technology in Israel. Their research primarily focuses on areas intersecting mathematics and computer science, with particular emphasis on statistical and probabilistic methods.
Their recent scholarly output includes publications in the venue arXiv (Cornell University), where they have contributed papers addressing foundational topics in Bayesian networks and directed acyclic graphical models. Notable works by Dan Geiger include:
Dan Geiger has collaborated with co-authors such as David Heckerman. Their research contributions appear linked to areas including Bayesian modeling and statistical inference, addressing complex methods and models to improve understanding within these fields.
Their main fields of study cover:
Their work further extends into several subfields, notably:
The topics Dan Geiger has addressed in publications include:
Nir Friedman;Dan Geiger;Moises Goldszmidt
David Heckerman;Dan Geiger;David M. Chickering
Dan Geiger;Thomas Verma;Judea Pearl
Dan Geiger;David Heckerman
Max Chickering;Dan Geiger;David Heckerman
Dan Geiger;David Heckerman
Maáyan Fishelson;Dan Geiger
Joanna Kaplanis;Assaf Gordon;Tal Shor;Omer Weissbrod
Dan Geiger;Thomas Verma;Judea Pearl
Dan Geiger;Christopher Meek;Bernd Sturmfels
Eli Sprecher;Akemi Ishida-Yamamoto;Mordechai Mizrahi-Koren;Debora Rapaport
Usama Fayyad;Kristin P. Bennett;Dan Geiger
Reuven Bar-Yehuda;Dan Geiger
Dan Geiger;David Heckerman
Dan Geiger;Judea Pearl
Dan Geiger;Judea Pearl
Dan Geiger;David Heckerman;Henry King;Christopher Meek
David Heckerman;Dan Geiger
David E. Heckerman;Dan Geiger;David M. Chickering
Ann Becker;Dan Geiger
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