Year |
Citation |
Score |
2017 |
Yang R, Spirtes P, Scheines R, Reise SP, Mansoff M. Finding Pure Sub-Models for Improved Differentiation of Bi-Factor and Second-Order Models. Structural Equation Modeling : a Multidisciplinary Journal. 24: 402-413. PMID 29230085 DOI: 10.1080/10705511.2016.1261351 |
0.671 |
|
2016 |
Scheines R, Ramsey J. Measurement Error and Causal Discovery. Ceur Workshop Proceedings. 1792: 1-7. PMID 28280453 |
0.649 |
|
2015 |
Cooper GF, Bahar I, Becich MJ, Benos PV, Berg J, Espino JU, Glymour C, Jacobson RC, Kienholz M, Lee AV, Lu X, Scheines R. The Center for causal discovery of biomedical knowledge from Big Data. Journal of the American Medical Informatics Association : Jamia. PMID 26138794 DOI: 10.1093/Jamia/Ocv059 |
0.544 |
|
2015 |
Bonifay WE, Reise SP, Scheines R, Meijer RR. When Are Multidimensional Data Unidimensional Enough for Structural Equation Modeling? An Evaluation of the DETECT Multidimensionality Index Structural Equation Modeling. 22: 504-516. DOI: 10.1080/10705511.2014.938596 |
0.392 |
|
2014 |
Kummerfeld E, Ramsey J, Yang R, Spirtes P, Scheines R. Causal clustering for 2-factor measurement models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8725: 34-49. DOI: 10.1007/978-3-662-44851-9_3 |
0.741 |
|
2013 |
Reise SP, Scheines R, Widaman KF, Haviland MG. Multidimensionality and Structural Coefficient Bias in Structural Equation Modeling: A Bifactor Perspective Educational and Psychological Measurement. 73: 5-26. DOI: 10.1177/0013164412449831 |
0.397 |
|
2013 |
Wheeler G, Scheines R. Coherence and confirmation through causation Mind. 122: 135-170. DOI: 10.1093/Mind/Fzt019 |
0.337 |
|
2010 |
Danks D, Fancsali S, Glymour C, Scheines R. Comorbid science? The Behavioral and Brain Sciences. 33: 153-5. PMID 20584373 DOI: 10.1017/S0140525X10000609 |
0.746 |
|
2010 |
Glymour C, Danks D, Glymour B, Eberhardt F, Ramsey J, Scheines R, Spirtes P, Teng CM, Zhang J. Actual causation: A stone soup essay Synthese. 175: 169-192. DOI: 10.1007/S11229-009-9497-9 |
0.711 |
|
2010 |
Shih B, Koedinger KR, Scheines R. Unsupervised discovery of student learning tactics Educational Data Mining 2010 - 3rd International Conference On Educational Data Mining. 201-210. |
0.518 |
|
2008 |
Shih B, Koedinger KR, Scheines R. A response time model for bottom-out hints as worked examples Educational Data Mining 2008 - 1st International Conference On Educational Data Mining, Proceedings. 117-126. |
0.537 |
|
2006 |
Eberhardt F, Glymour C, Scheines R. N-1 experiments suffice to determine the causal relations among N variables Studies in Fuzziness and Soft Computing. 194: 97-112. DOI: 10.1007/10985687_4 |
0.473 |
|
2006 |
Silva R, Scheines R, Glymour C, Spirtes P. Learning the structure of linear latent variable models Journal of Machine Learning Research. 7: 191-246. |
0.537 |
|
2005 |
Scheines R. The similarity of causal inference in experimental and non-experimental studies Philosophy of Science. 72: 927-940. DOI: 10.1086/508950 |
0.308 |
|
2005 |
Eberhardt F, Glymour C, Scheines R. On the number of experiments suficient and in the worst case necessary to identify all causal relations among N variables Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 178-184. |
0.504 |
|
2004 |
Handley D, Serban N, Peters D, O'Doherty R, Field M, Wasserman L, Spirtes P, Scheines R, Glymour C. Evidence of systematic expressed sequence tag IMAGE clone cross-hybridization on cDNA microarrays. Genomics. 83: 1169-75. PMID 15177570 DOI: 10.1016/J.Ygeno.2003.12.010 |
0.688 |
|
2004 |
Spirtes P, Scheines R. Causal inference of ambiguous manipulations Philosophy of Science. 71: 833-845. DOI: 10.1086/425058 |
0.661 |
|
2003 |
Chu T, Glymour C, Scheines R, Spirtes P. A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays. Bioinformatics (Oxford, England). 19: 1147-52. PMID 12801876 DOI: 10.1093/Bioinformatics/Btg011 |
0.713 |
|
2003 |
Robins JM, Scheines R, Spirtes P, Wasserman L. Uniform consistency in causal inference Biometrika. 90: 491-515. DOI: 10.1093/Biomet/90.3.491 |
0.648 |
|
2003 |
Fienberg SE, Glymour C, Scheines R. Expert statistical testimony and epidemiological evidence: The toxic effects of lead exposure on children Journal of Econometrics. 113: 33-48. DOI: 10.1016/S0304-4076(02)00165-3 |
0.564 |
|
2002 |
Scheines R. Computation and causation Metaphilosophy. 33: 158-180. DOI: 10.1111/1467-9973.00223 |
0.358 |
|
2001 |
Spirtes P, Glymour C, Scheines R, Kauffman S, Aimale V, Wimberly F. Constructing Bayesian network models of gene expression networks from microarray data Proceedings of the Atlantic Symposium On Computational Biology and Genome Information Systems and Technolgoy, Cbgist 2001. 255-259. |
0.489 |
|
1999 |
Scheines R, Hoijtink H, Boomsma A. Bayesian estimation and testing of structural equation models Psychometrika. 64: 37-52. DOI: 10.1007/Bf02294318 |
0.33 |
|
1998 |
Scheines R, Spirtes P, Glymour C, Meek C, Richardson T. The TETRAD Project: Constraint Based Aids to Causal Model Specification. Multivariate Behavioral Research. 33: 65-117. PMID 26771754 DOI: 10.1207/S15327906Mbr3301_3 |
0.782 |
|
1998 |
Spirtes P, Richardson T, Meek C, Scheines R, Glymour C. Using path diagrams as a structural equation modeling tool Sociological Methods and Research. 27: 182-225. DOI: 10.1177/0049124198027002003 |
0.785 |
|
1998 |
SPIRTES P, RICHARDSON T, MEEK C, SCHEINES R, GLYMOUR C. Using Path Diagrams as a Structural Equation Modeling Tool Sociological Methods & Research. 27: 182-225. DOI: 10.1177/0049124198027002003 |
0.757 |
|
1992 |
Scheines R, Spirtes P. Finding latent variable models in large databases International Journal of Intelligent Systems. 7: 609-621. DOI: 10.1002/Int.4550070704 |
0.693 |
|
1991 |
Glymour C, Spirtes P, Scheines R. Causal inference Erkenntnis. 35: 151-189. DOI: 10.1007/BF00388284 |
0.712 |
|
1991 |
Spirtes P, Glymour C, Scheines R. From probability to causality Philosophical Studies. 64: 1-36. DOI: 10.1007/Bf00356088 |
0.708 |
|
1990 |
Glymour C, Spirtes P, Scheines R. Independence Relations Produced by Parameter Values in Causal Models Philosophical Topics. 18: 55-70. DOI: 10.5840/Philtopics19901823 |
0.723 |
|
1990 |
Spirtes P, Scheines R, Glymour C. Reply to Comments Sociological Methods &Amp; Research. 19: 107-121. DOI: 10.1177/0049124190019001005 |
0.685 |
|
1990 |
Spirtes P, Scheines R, Glymour C. Simulation Studies of the Reliability of Computer–Aided Model Specification Using the TETRAD II, EQS, and LISREL Programs Sociological Methods &Amp; Research. 19: 3-66. DOI: 10.1177/0049124190019001001 |
0.735 |
|
1990 |
Spirtes P, Scheines R, Glymour C. The Tetrad Project Multivariate Behavioral Research. 33: 183-207. DOI: 10.1007/978-94-009-2476-5_13 |
0.705 |
|
1989 |
Pearce SC, Glymour C, Scheines R, Spirtes P, Kelly K. Discovering Causal Structure. Biometrics. 45: 340. DOI: 10.2307/2532061 |
0.719 |
|
1989 |
Glymour C, Scheines R, Spirtes P, Kelly K. Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling Social Science Computer Review. 7: 258. DOI: 10.1177/089443938900700231 |
0.725 |
|
1988 |
Glymour C, Scheines R, Spirtes P. Exploring Causal Structure with the TETRAD Program Sociological Methodology. 18: 411. DOI: 10.2307/271054 |
0.746 |
|
1988 |
Glymour C, Scheines R, Spirtes P, Kelly K. TETRAD: Discovering Causal Structure Multivariate Behavioral Research. 23: 279-280. DOI: 10.1207/S15327906Mbr2302_13 |
0.719 |
|
1986 |
Glymour C, Scheines R. Causal modeling with the TETRAD program Synthese. 68: 37-63. DOI: 10.1007/Bf00413966 |
0.618 |
|
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