| Causation, prediction, and search P Spirtes, C Glymour, R Scheines MIT press, 2001 | 11949 | 2001 |
| An algorithm for fast recovery of sparse causal graphs P Spirtes, C Glymour Social science computer review 9 (1), 62-72, 1991 | 1281 | 1991 |
| Review of causal discovery methods based on graphical models C Glymour, K Zhang, P Spirtes Frontiers in genetics 10, 524, 2019 | 1094 | 2019 |
| 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 | 837 | 2019 |
| Ancestral graph Markov models T Richardson, P Spirtes The Annals of Statistics 30 (4), 962-1030, 2002 | 799 | 2002 |
| Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling C Glymour, R Scheines, P Spirtes Academic Press, 2014 | 673 | 2014 |
| Causal inference in the presence of latent variables and selection bias PL Spirtes, C Meek, TS Richardson arXiv preprint arXiv:1302.4983, 2013 | 562 | 2013 |
| Causal discovery and inference: concepts and recent methodological advances P Spirtes, K Zhang Applied informatics 3, 1-28, 2016 | 446 | 2016 |
| Introduction to causal inference. P Spirtes Journal of Machine Learning Research 11 (5), 2010 | 360 | 2010 |
| Adjacency-faithfulness and conservative causal inference J Ramsey, J Zhang, PL Spirtes arXiv preprint arXiv:1206.6843, 2012 | 343 | 2012 |
| 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 | 313 | 1998 |
| Directed cyclic graphical representations of feedback models PL Spirtes arXiv preprint arXiv:1302.4982, 2013 | 307 | 2013 |
| 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 | 303 | 1997 |
| 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 | 298 | 2006 |
| Learning Bayesian networks with discrete variables from data. P Spirtes, C Meek KDD 1, 294-299, 1995 | 256 | 1995 |
| A hybrid causal search algorithm for latent variable models JM Ogarrio, P Spirtes, J Ramsey Conference on probabilistic graphical models, 368-379, 2016 | 233 | 2016 |
| Discovering cyclic causal models by independent components analysis G Lacerda, PL Spirtes, J Ramsey, PO Hoyer arXiv preprint arXiv:1206.3273, 2012 | 215 | 2012 |
| TETRAD: discovering causal structure C Glymour, R Scheines, P Spirtes, K Kelly Multivariate Behavioral Research 23 (2), 279-280, 1988 | 202 | 1988 |
| Uniform consistency in causal inference JM Robins, R Scheines, P Spirtes, L Wasserman Biometrika 90 (3), 491-515, 2003 | 196 | 2003 |
| Using path diagrams as a structural equation modeling tool P Spirtes, T Richardson, C Meek, R Scheines, C Glymour Sociological Methods & Research 27 (2), 182-225, 1998 | 181 | 1998 |
Richard ScheinesDean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon Universityandrew.cmu.edu의 이메일 확인됨