Richard Scheines

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	전체	2020년 이후
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Peter SpirtesProfessor of Philosophy, Carnegie Mellon Universityandrew.cmu.edu의 이메일 확인됨
Christopher MeekPrinciple Researcher, Microsoft Researchmicrosoft.com의 이메일 확인됨
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLstats.ucl.ac.uk의 이메일 확인됨
Thomas S. RichardsonUniversity of Washingtonuw.edu의 이메일 확인됨
Matthew EasterdayNorthwestern Universitynorthwestern.edu의 이메일 확인됨
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon Universityandrew.cmu.edu의 이메일 확인됨
Steve ReiseProfessor Quantitative Methods, UCLApsych.ucla.edu의 이메일 확인됨
Ken KoedingerHCII, Carnegie Mellon Universitycmu.edu의 이메일 확인됨
Joseph RamseyCarnegie Mellon Universityandrew.cmu.edu의 이메일 확인됨
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon Universitystat.cmu.edu의 이메일 확인됨
David DanksProfessor of Data Science, Philosophy, & Policy; UC San Diegoucsd.edu의 이메일 확인됨
Keith WidamanDistinguished Professor of Education, University of California, Riversideucr.edu의 이메일 확인됨
Gaea LeinhardtEmeritus Professor of Educationpitt.edu의 이메일 확인됨
kevin t. kellyProfessor of Philosophy, Carnegie Mellon Universityandrew.cmu.edu의 이메일 확인됨
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public healthhsph.harvard.edu의 이메일 확인됨
herbert hoijtinkuu.nl의 이메일 확인됨
Patrik HoyerAlumni, Aalto University and University of Helsinkialumni.aalto.fi의 이메일 확인됨
George LoewensteinProfessor of Economics and Psychology, Carnegie Mellon Universityandrew.cmu.edu의 이메일 확인됨
Cynthia CryderAssociate Professor of Marketing, Washington University in St. Louiswustl.edu의 이메일 확인됨
Jonathan LivengoodAssociate Professor of Philosophy, University of Illinois at Urbana-Champaignillinois.edu의 이메일 확인됨

팔로우

Richard Scheines

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

andrew.cmu.edu의 이메일 확인됨

Causation Educational Data Mining Causal Discovery Latent Variable Models


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Causation, Prediction, and Search, 2nd Edition P Spirtes, C Glymour, R Scheines MIT Press, Cambridge, 2000	12025	2000
Food marketing to children and youth: threat or opportunity? VI Kraak, JA Gootman, JM McGinnis National Academies Press, 2006	1214*	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	913	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	364	1999
Interventions and causal inference F Eberhardt, R Scheines Philosophy of science 74 (5), 981-995, 2007	353	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	316	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	297	2006
The donor is in the details CE Cryder, G Loewenstein, R Scheines Organizational Behavior and Human Decision Processes 120 (1), 15-23, 2013	260	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	239	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	201	2000
Uniform consistency in causal inference JM Robins, R Scheines, P Spirtes, L Wasserman Biometrika 90 (3), 491-515, 2003	197	2003
A Response Time Model For Bottom-Out Hints as Worked Examples. B Shih, KR Koedinger, R Scheines EDM 2008, 117-126, 2008	178	2008
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
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	176	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	167	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	153	2014

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