6 citations · 12 across the 4 of their papers we have counts for
4 papers
Learning Probabilities of Causation from Finite Population Data
Ang Li, Song Jiang, Yizhou Sun +1
This paper deals with the problem of learning the probabilities of causation of subpopulations given finite population data. The tight bounds of three basic probabilities of causat…
Personalized Decision Making -- A Conceptual Introduction
Scott Mueller, Judea Pearl
Personalized decision making targets the behavior of a specific individual, while population-based decision making concerns a sub-population resembling that individual. This paper…
Structuring Causal Tree Models with Continuous Variables
Lei Xu, Judea Pearl
This paper considers the problem of invoking auxiliary, unobservable variables to facilitate the structuring of causal tree models for a given set of continuous variables. Parallel…
d-Separation: From Theorems to Algorithms
Dan Geiger, Tom S. Verma, Judea Pearl
An efficient algorithm is developed that identifies all independencies implied by the topology of a Bayesian network. Its correctness and maximality stems from the soundness and co…