26 citations · 178 across the 17 of their papers we have counts for
5 papers · 1 filter
Mixed Graphical Models for Causal Analysis of Multi-modal Variables
Andrew J Sedgewick, Joseph D. Ramsey, Peter Spirtes +2
Graphical causal models are an important tool for knowledge discovery because they can represent both the causal relations between variables and the multivariate probability distri…
Discovery and Visualization of Nonstationary Causal Models
Kun Zhang, Biwei Huang, Jiji Zhang +2
It is commonplace to encounter nonstationary data, of which the underlying generating process may change over time or across domains. The nonstationarity presents both challenges a…
Psychological and Normative Theories of Causal Power and the Probabilities of Causes
Clark Glymour
This paper (1)shows that the best supported current psychological theory (Cheng, 1997) of how human subjects judge the causal power or influence of variations in presence or absenc…
Linearity Properties of Bayes Nets with Binary Variables
David Danks, Clark Glymour
It is "well known" that in linear models: (1) testable constraints on the marginal distribution of observed variables distinguish certain cases in which an unobserved cause jointly…
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables
Frederick Eberhardt, Clark Glymour, Richard Scheines
We show that if any number of variables are allowed to be simultaneously and independently randomized in any one experiment, log2(N) + 1 experiments are sufficient and in the worst…