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Richard Scheines
Richard Scheines
Dean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon University
Geverifieerd e-mailadres voor andrew.cmu.edu
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Causation, Prediction, and Search, 2nd Edition
P Spirtes, C Glymour, R Scheines
MIT Press, Cambridge, 2000
110862000
Food marketing to children and youth: threat or opportunity?
VI Kraak, JA Gootman, JM McGinnis
National Academies Press, 2006
1203*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
8062013
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
3441999
Tetrad II: Tools for discovery
R Scheines, P Spirtes, C Glymour, C Meek
Lawrence Erlbaum Associates, Hillsdale, NJ, 1994
312*1994
Interventions and causal inference
F Eberhardt, R Scheines
Philosophy of science 74 (5), 981-995, 2007
3082007
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
2961998
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
2712006
The donor is in the details
CE Cryder, G Loewenstein, R Scheines
Organizational Behavior and Human Decision Processes 120 (1), 15-23, 2013
2322013
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
2302005
TETRAD: discovering causal Structure
C Glymour, R Scheines, P Spirtes, K Kelly
Multivariate Behavioral Research 23 (2), 279-280, 1988
1951988
Uniform consistency in causal inference
JM Robins, R Scheines, P Spirtes, L Wasserman
Biometrika 90 (3), 491-515, 2003
1822003
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
1822000
Causality from probability
P Spirtes, C Glymour, R Scheines
Carnegie Mellon University, 1989
1781989
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
1751998
A Response Time Model For Bottom-Out Hints as Worked Examples.
B Shih, KR Koedinger, R Scheines
EDM 2008, 117-126, 2008
1732008
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
1612012
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
1462014
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
1432015
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Artikelen 1–20