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Richard Scheines
Richard Scheines
Dean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon University
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
Causation, Prediction, and Search, 2nd Edition
P Spirtes, C Glymour, R Scheines
MIT Press, Cambridge, 2000
113152000
Food marketing to children and youth: threat or opportunity?
VI Kraak, JA Gootman, JM McGinnis
National Academies Press, 2006
1215*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
8282013
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
3451999
Interventions and causal inference
F Eberhardt, R Scheines
Philosophy of science 74 (5), 981-995, 2007
3172007
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
3001998
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
2762006
The donor is in the details
CE Cryder, G Loewenstein, R Scheines
Organizational Behavior and Human Decision Processes 120 (1), 15-23, 2013
2402013
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
2332005
TETRAD: discovering causal Structure
C Glymour, R Scheines, P Spirtes, K Kelly
Multivariate Behavioral Research 23 (2), 279-280, 1988
1961988
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
1852000
Uniform consistency in causal inference
JM Robins, R Scheines, P Spirtes, L Wasserman
Biometrika 90 (3), 491-515, 2003
1832003
Causality from probability
P Spirtes, C Glymour, R Scheines
Carnegie Mellon University, 1989
1801989
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
1771998
A Response Time Model For Bottom-Out Hints as Worked Examples.
B Shih, KR Koedinger, R Scheines
EDM 2008, 117-126, 2008
1752008
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
1632012
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
1512015
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
1492014
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