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C. Glymour

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedOn the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables

25 citations · 28 across the 2 of their papers we have counts for

collaborators

4 papers

cs.AI2013★ 3 cited

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…

cs.AI2013

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…

cs.LG2012

Learning Measurement Models for Unobserved Variables

Ricardo Silva, Richard Scheines, Clark Glymour +1

Observed associations in a database may be due in whole or part to variations in unrecorded (latent) variables. Identifying such variables and their causal relationships with one a…

cs.AI2012★ 25 cited

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…

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