Richard Scheines

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Peter SpirtesProfessor of Philosophy, Carnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Christopher MeekPrinciple Researcher, Microsoft ResearchEmail verificata su microsoft.com
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLEmail verificata su stats.ucl.ac.uk
Thomas S. RichardsonUniversity of WashingtonEmail verificata su uw.edu
Matthew EasterdayNorthwestern UniversityEmail verificata su northwestern.edu
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Steve ReiseProfessor Quantitative Methods, UCLAEmail verificata su psych.ucla.edu
Ken KoedingerHCII, Carnegie Mellon UniversityEmail verificata su cmu.edu
Joseph RamseyCarnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityEmail verificata su stat.cmu.edu
David DanksProfessor of Data Science, Philosophy, & Policy; UC San DiegoEmail verificata su ucsd.edu
Keith WidamanDistinguished Professor of Education, University of California, RiversideEmail verificata su ucr.edu
Gaea LeinhardtEmeritus Professor of EducationEmail verificata su pitt.edu
kevin t. kellyProfessor of Philosophy, Carnegie Mellon UniversityEmail verificata su andrew.cmu.edu
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public healthEmail verificata su hsph.harvard.edu
herbert hoijtinkEmail verificata su uu.nl
Patrik HoyerAlumni, Aalto University and University of HelsinkiEmail verificata su alumni.aalto.fi
George LoewensteinProfessor of Economics and Psychology, Carnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Cynthia CryderAssociate Professor of Marketing, Washington University in St. LouisEmail verificata su wustl.edu
Jonathan LivengoodAssociate Professor of Philosophy, University of Illinois at Urbana-ChampaignEmail verificata su illinois.edu

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Richard Scheines

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

Email verificata su andrew.cmu.edu

Causation Educational Data Mining Causal Discovery Latent Variable Models


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Causation, Prediction, and Search, 2nd Edition P Spirtes, C Glymour, R Scheines MIT Press, Cambridge, 2000	11940	2000
Food marketing to children and youth: threat or opportunity? VI Kraak, JA Gootman, JM McGinnis National Academies Press, 2006	1211*	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	904	2013
Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling C Glymour, R Scheines, P Spirtes, K Kelly Academic Press, 1987	669*	1987
Bayesian estimation and testing of structural equation models R Scheines, H Hoijtink, A Boomsma Psychometrika 64 (1), 37-52, 1999	362	1999
Interventions and causal inference F Eberhardt, R Scheines Philosophy of science 74 (5), 981-995, 2007	350	2007
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	315	1998
Tetrad II: Tools for discovery R Scheines, P Spirtes, C Glymour, C Meek Lawrence Erlbaum Associates, Hillsdale, NJ, 1994	314*	1994
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	294	2006
The donor is in the details CE Cryder, G Loewenstein, R Scheines Organizational Behavior and Human Decision Processes 120 (1), 15-23, 2013	258	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	238	2005
TETRAD: discovering causal structure C Glymour, R Scheines, P Spirtes, K Kelly Multivariate Behavioral Research 23 (2), 279-280, 1988	202	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	200	2000
Uniform consistency in causal inference JM Robins, R Scheines, P Spirtes, L Wasserman Biometrika 90 (3), 491-515, 2003	197	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	178	1998
A Response Time Model For Bottom-Out Hints as Worked Examples. B Shih, KR Koedinger, R Scheines EDM 2008, 117-126, 2008	177	2008
Causality from probability P Spirtes, C Glymour, R Scheines Carnegie Mellon University, 1989	177	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	175	2012
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	164	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	150	2014

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