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Clark Glymour
Clark Glymour
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
Causation, prediction, and search
P Spirtes, CN Glymour, R Scheines
MIT press, 2000
110732000
Theory and evidence
CN Glymour
18321980
A theory of causal learning in children: causal maps and Bayes nets.
A Gopnik, C Glymour, DM Sobel, LE Schulz, T Kushnir, D Danks
Psychological review 111 (1), 3, 2004
16222004
An algorithm for fast recovery of sparse causal graphs
P Spirtes, C Glymour
Social science computer review 9 (1), 62-72, 1991
11201991
Review of causal discovery methods based on graphical models
C Glymour, K Zhang, P Spirtes
Frontiers in genetics 10, 524, 2019
8112019
Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation.
A Gopnik, DM Sobel, LE Schulz, C Glymour
Developmental psychology 37 (5), 620, 2001
7142001
Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling
C Glymour, R Scheines, P Spirtes
Academic Press, 2014
6682014
Inferring causation from time series in Earth system sciences
J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ...
Nature communications 10 (1), 2553, 2019
6532019
The mind's arrows: Bayes nets and graphical causal models in psychology
CN Glymour
MIT press, 2001
6082001
Computation, causation, and discovery
CN Glymour, GF Cooper
(No Title), 1999
5301999
Six problems for causal inference from fMRI
JD Ramsey, SJ Hanson, C Hanson, YO Halchenko, RA Poldrack, ...
neuroimage 49 (2), 1545-1558, 2010
3862010
Domain adaptation with conditional transferable components
M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf
International conference on machine learning, 2839-2848, 2016
3832016
Statistical themes and lessons for data mining
C Glymour, D Madigan, D Pregibon, P Smyth
Data mining and knowledge discovery 1, 11-28, 1997
3641997
A million variables and more: the fast greedy equivalence search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic …
J Ramsey, M Glymour, R Sanchez-Romero, C Glymour
International journal of data science and analytics 3, 121-129, 2017
3382017
Preschool children learn about causal structure from conditional interventions
LE Schulz, A Gopnik, C Glymour
Developmental science 10 (3), 322-332, 2007
3102007
The TETRAD project: Constraint based aids to causal model specification
R Scheines, P Spirtes, C Glymour, C Meek, T Richardson
Multivariate Behavioral Research 33 (1), 65-117, 1998
2961998
An evaluation of machine-learning methods for predicting pneumonia mortality
GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ...
Artificial intelligence in medicine 9 (2), 107-138, 1997
2931997
Learning the Structure of Linear Latent Variable Models.
R Silva, R Scheines, C Glymour, P Spirtes, DM Chickering
Journal of Machine Learning Research 7 (2), 2006
2732006
Introduction to the Philosophy of Science
MH Salmon, C Glymour
Hackett Publishing, 1999
2731999
Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study
Z Burgansky-Eliash, G Wollstein, T Chu, JD Ramsey, C Glymour, ...
Investigative ophthalmology & visual science 46 (11), 4147-4152, 2005
2432005
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