This paper concerns the empirical basis of causation, and addresses the following issues: 1. the clues that might prompt people to perceive causal relationships in uncontrolled observations. 2. theâ€¦ (More)

Dependency knowledge of the form "x is independent ofy once z is known" invariably obeys the four graphoid axioms, examples include probabilistic and database dependencies. Often, such knowledge canâ€¦ (More)

In a previous paper [Pearl and Verma, 1991] we presented an algorithm for extracting causal influences from independence informaÂ tion, where a causal influence was defined as the existence of aâ€¦ (More)

An efficient algorithm is developed that identifies all independencies implied by the topology of a BayeÂ sian network. Its correctness and maximality stems from the soundness and completeness of dÂâ€¦ (More)

In order to find a causal explanation for data presented in the form of covariance and conÂ centration matrices it is necessary to decide if the graph formed by such associations is a projection of aâ€¦ (More)

Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain theseâ€¦ (More)