198 citations · 959 across the 31 of their papers we have counts for
14 papers · 2 filters
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)
Dan Geiger, Prakash Shenoy
This is the Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, which was held in Providence, RI, August 1-3, 1997
Separable and transitive graphoids
Dan Geiger, David Heckerman
We examine three probabilistic formulations of the sentence a and b are totally unrelated with respect to a given set of variables U. First, two variables a and b are totally indep…
On the Logic of Causal Models
Dan Geiger, Judea Pearl
This paper explores the role of Directed Acyclic Graphs (DAGs) as a representation of conditional independence relationships. We show that DAGs offer polynomially sound and complet…
Advances in Probabilistic Reasoning
Dan Geiger, David Heckerman
This paper discuses multiple Bayesian networks representation paradigms for encoding asymmetric independence assertions. We offer three contributions: (1) an inference mechanism th…
Inference Algorithms for Similarity Networks
Dan Geiger, David Heckerman
We examine two types of similarity networks each based on a distinct notion of relevance. For both types of similarity networks we present an efficient inference algorithm that wor…
On Testing Whether an Embedded Bayesian Network Represents a Probability Model
Dan Geiger, Azaria Paz, Judea Pearl
Testing the validity of probabilistic models containing unmeasured (hidden) variables is shown to be a hard task. We show that the task of testing whether models are structurally i…