Richard Scheines 个人学术档案

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	总计	2019 年至今
引用	20036	7181
h 指数	38	26
i10 指数	79	44

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Peter SpirtesProfessor of Philosophy, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Christopher MeekPrinciple Researcher, Microsoft Research在 microsoft.com 的电子邮件经过验证
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCL在 stats.ucl.ac.uk 的电子邮件经过验证
Matthew EasterdayNorthwestern University在 northwestern.edu 的电子邮件经过验证
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Joseph RamseyCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Thomas S. RichardsonUniversity of Washington在 uw.edu 的电子邮件经过验证
Ken KoedingerHCII, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Steve ReiseProfessor Quantitative Methods, UCLA在 psych.ucla.edu 的电子邮件经过验证
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon University在 stat.cmu.edu 的电子邮件经过验证
David DanksProfessor of Data Science & Philosophy; UC San Diego在 ucsd.edu 的电子邮件经过验证
Gaea LeinhardtEmeritus Professor of Education在 pitt.edu 的电子邮件经过验证
Keith WidamanDistinguished Professor of Education, University of California, Riverside在 ucr.edu 的电子邮件经过验证
kevin t. kellyProfessor of Philosophy, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
James M. Robinsprofessor of epidemiology and biostatistics harvard school of public health在 hsph.harvard.edu 的电子邮件经过验证
herbert hoijtink在 uu.nl 的电子邮件经过验证
Patrik HoyerAlumni, Aalto University and University of Helsinki在 alumni.aalto.fi 的电子邮件经过验证
George LoewensteinProfessor of Economics and Psychology, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Cynthia CryderAssociate Professor of Marketing, Washington University in St. Louis在 wustl.edu 的电子邮件经过验证
Jonathan LivengoodAssociate Professor of Philosophy, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证

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Richard Scheines

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

在 andrew.cmu.edu 的电子邮件经过验证

Causation Educational Data Mining Causal Discovery Latent Variable Models


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Causation, Prediction, and Search, 2nd Edition P Spirtes, C Glymour, R Scheines MIT Press, Cambridge, 2000	11312	2000
Food marketing to children and youth: threat or opportunity? VI Kraak, JA Gootman, JM McGinnis National Academies Press, 2006	1216*	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	828	2013
Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling C Glymour, R Scheines, P Spirtes, K Kelly Academic Press, 1987	670*	1987
Bayesian estimation and testing of structural equation models R Scheines, H Hoijtink, A Boomsma Psychometrika 64, 37-52, 1999	345	1999
Interventions and causal inference F Eberhardt, R Scheines Philosophy of science 74 (5), 981-995, 2007	317	2007
Tetrad II: Tools for discovery R Scheines, P Spirtes, C Glymour, C Meek Lawrence Erlbaum Associates, Hillsdale, NJ, 1994	312*	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	300	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	276	2006
The donor is in the details CE Cryder, G Loewenstein, R Scheines Organizational Behavior and Human Decision Processes 120 (1), 15-23, 2013	240	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	233	2005
TETRAD: discovering causal Structure C Glymour, R Scheines, P Spirtes, K Kelly Multivariate Behavioral Research 23 (2), 279-280, 1988	195	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	185	2000
Uniform consistency in causal inference JM Robins, R Scheines, P Spirtes, L Wasserman Biometrika 90 (3), 491-515, 2003	183	2003
Causality from probability P Spirtes, C Glymour, R Scheines Carnegie Mellon University, 1989	180	1989
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	177	1998
A Response Time Model For Bottom-Out Hints as Worked Examples. B Shih, KR Koedinger, R Scheines EDM 2008, 117-126, 2008	175	2008
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	163	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	151	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	149	2014

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