Richard Scheines

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Peter SpirtesProfessor of Philosophy, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Christopher MeekPrinciple Researcher, Microsoft ResearchVerified email at microsoft.com
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLVerified email at stats.ucl.ac.uk
Matthew EasterdayNorthwestern UniversityVerified email at northwestern.edu
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Joseph RamseyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Thomas S. RichardsonUniversity of WashingtonVerified email at uw.edu
Steve ReiseProfessor Quantitative Methods, UCLAVerified email at psych.ucla.edu
Ken KoedingerHCII, Carnegie Mellon UniversityVerified email at cmu.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
David DanksProfessor of Data Science, Philosophy, & Policy; UC San DiegoVerified email at ucsd.edu
Keith WidamanDistinguished Professor of Education, University of California, RiversideVerified email at ucr.edu
Gaea LeinhardtEmeritus Professor of EducationVerified email at pitt.edu
kevin t. kellyProfessor of Philosophy, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public healthVerified email at hsph.harvard.edu
herbert hoijtinkVerified email at uu.nl
Patrik HoyerAlumni, Aalto University and University of HelsinkiVerified email at alumni.aalto.fi
George LoewensteinProfessor of Economics and Psychology, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Cynthia CryderAssociate Professor of Marketing, Washington University in St. LouisVerified email at wustl.edu
Jonathan LivengoodAssociate Professor of Philosophy, University of Illinois at Urbana-ChampaignVerified email at illinois.edu

Richard Scheines

Dean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon University

Verified email at andrew.cmu.edu

Causation Educational Data Mining Causal Discovery Latent Variable Models


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Causation, Prediction, and Search, 2nd Edition P Spirtes, C Glymour, R Scheines MIT Press, Cambridge, 2000	11800	2000
Food marketing to children and youth: threat or opportunity? VI Kraak, JA Gootman, JM McGinnis National Academies Press, 2006	1244*	2006
Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective SP Reise, R Scheines, KF Widaman, MG Haviland Educational and psychological measurement 73 (1), 5-26, 2013	886	2013
Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling C Glymour, R Scheines, P Spirtes, K Kelly Academic Press, 1987	668*	1987
Bayesian estimation and testing of structural equation models R Scheines, H Hoijtink, A Boomsma Psychometrika 64, 37-52, 1999	353	1999
Interventions and causal inference F Eberhardt, R Scheines Philosophy of science 74 (5), 981-995, 2007	344	2007
Tetrad II: Tools for discovery R Scheines, P Spirtes, C Glymour, C Meek Lawrence Erlbaum Associates, Hillsdale, NJ, 1994	314*	1994
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	308	1998
Learning the structure of linear latent variable models R Silva, R Scheines, C Glymour, P Spirtes Journal of Machine Learning Research 7 (Feb), 191-246, 2006	296	2006
The donor is in the details CE Cryder, G Loewenstein, R Scheines Organizational Behavior and Human Decision Processes 120 (1), 15-23, 2013	256	2013
Single mothers' self-efficacy, parenting in the home environment, and children's development in a two-wave study AP Jackson, R Scheines Social work research 29 (1), 7-20, 2005	241	2005
TETRAD: discovering causal structure C Glymour, R Scheines, P Spirtes, K Kelly Multivariate Behavioral Research 23 (2), 279-280, 1988	200	1988
Constructing Bayesian network models of gene expression networks from microarray data P Spirtes, C Glymour, R Scheines, S Kauffman, V Aimale, F Wimberly Carnegie Mellon University, 2000	193	2000
Uniform consistency in causal inference JM Robins, R Scheines, P Spirtes, L Wasserman Biometrika 90 (3), 491-515, 2003	190	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
Causality from probability P Spirtes, C Glymour, R Scheines Carnegie Mellon University, 1989	179	1989
On the number of experiments sufficient and in the worst case necessary to identify all causal relations among n variables F Eberhardt, C Glymour, R Scheines arXiv preprint arXiv:1207.1389, 2012	176	2012
A Response Time Model For Bottom-Out Hints as Worked Examples. B Shih, KR Koedinger, R Scheines EDM 2008, 117-126, 2008	176	2008
When are multidimensional data unidimensional enough for structural equation modeling? An evaluation of the DETECT multidimensionality index WE Bonifay, SP Reise, R Scheines, RR Meijer Structural Equation Modeling: A Multidisciplinary Journal 22 (4), 504-516, 2015	163	2015
Review of EPA's Integrated Risk Information System (IRIS) Process J Samet, S Bartell, L Bero, A Bostrom, K Dickersin, D Dorman, D Eaton, ... National Academies Press, 2014	151	2014

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