Probabilistic Networks and Inferred Causation

Authors

Christian Borgelt
Rudolf Kruse

Abstract

In this article we discuss two related subjects. In the first place, we explain in a tutorial manner the technique of reasoning in probabilistic network structures, which is based on the idea of decomposing a multi-dimensional probability distribution and drawing inferences using only the parts of the decomposition. Secondly, we consider the relations between the structure of a multi-dimensional probability distribution and the underlying causal structure and examine an algorithm which tries to infer the causal structure from the probabilistic structure.

Keywords

Evidence, Gender and the Law

Disciplines

Evidence | Law | Law and Gender

Recommended Citation

Christian Borgelt & Rudolf Kruse, Probabilistic Networks and Inferred Causation, 18 Cardozo L. Rev. 2001 (1997).
Available at: https://larc.cardozo.yu.edu/clr/vol18/iss6/6