Causation, prediction, and search
- P. Spirtes, C. Glymour, R. Scheines
- Computer Science
- 1993
The authors axiomatize the connection between causal structure and probabilistic independence, explore several varieties of causal indistinguishability, formulate a theory of manipulation, and develop asymptotically reliable procedures for searching over equivalence classes of causal models.
Causation, Prediction, and Search, 2nd Edition
- P. Spirtes, C. Glymour, R. Scheines
- Computer Science
- 2001
The authors axiomatize the connection between causal structure and probabilistic independence, explore several varieties of causal indistinguishability, formulate a theory of manipulation, and develop asymptotically reliable procedures for searching over equivalence classes of causal models.
A theory of causal learning in children: causal maps and Bayes nets.
- A. Gopnik, C. Glymour, D. Sobel, L. Schulz, T. Kushnir, D. Danks
- Computer Science, PsychologyPsychology Review
- 2004
Experimental results suggest that 2- to 4-year-old children construct new causal maps and that their learning is consistent with the Bayes net formalism.
An Algorithm for Fast Recovery of Sparse Causal Graphs
- P. Spirtes, C. Glymour
- Computer Science
- 1 April 1991
An asymptotically correct algorithm whose complexity for fixed graph connectivity increases polynomially in the number of vertices, and may in practice recover sparse graphs with several hundred variables.
Causation, Prediction, and Search, Second Edition
- P. Spirtes, C. Glymour, R. Scheines
- Computer ScienceAdaptive computation and machine learning
- 2000
The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology
- C. Glymour
- Psychology
- 2000
In recent years, small groups of statisticians, computer scientists, and philosophers have developed an account of how partial causal knowledge can be used to compute the effect of actions and how…
A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images
- J. Ramsey, M. Glymour, Ruben Sanchez-Romero, C. Glymour
- Computer ScienceInternational Journal of Data Science and…
- 1 March 2017
A modification of the Greedy Equivalence Search algorithm to rapidly find the Markov Blanket of any variable in a high dimensional system is described.
Six problems for causal inference from fMRI
- J. Ramsey, S. Hanson, C. Hanson, Y. Halchenko, R. Poldrack, C. Glymour
- PsychologyNeuroImage
- 15 January 2010
Review of Causal Discovery Methods Based on Graphical Models
- C. Glymour, Kun Zhang, P. Spirtes
- Computer ScienceFrontiers in Genetics
- 4 June 2019
This paper aims to give a introduction to and a brief review of the computational methods for causal discovery that were developed in the past three decades, including constraint-based and score-based methods and those based on functional causal models, supplemented by some illustrations and applications.
Domain Adaptation with Conditional Transferable Components
- Mingming Gong, Kun Zhang, Tongliang Liu, D. Tao, C. Glymour, B. Schölkopf
- MathematicsInternational Conference on Machine Learning
- 1 June 2016
This paper aims to extract conditional transferable components whose conditional distribution is invariant after proper location-scale (LS) transformations, and identifies how P(Y) changes between domains simultaneously.
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