Artikelen met mandaten voor openbare toegang - Richard ScheinesMeer informatie
Nergens beschikbaar: 1
Inferring causal structure in mixed populations
C Glymour, P Spirtes, R Scheines
Artificial Intelligence Frontiers in Statistics, 141-155, 2020
Mandaten: US Department of Defense
Ergens beschikbaar: 6
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
Mandaten: US Institute of Education Sciences
The center for causal discovery of biomedical knowledge from big data
GF Cooper, I Bahar, MJ Becich, PV Benos, J Berg, J Espino, C Glymour, ...
Journal of the American Medical Informatics Association 22 (6), 1132-1136, 2015
Mandaten: US National Institutes of Health
Measurement error and causal discovery
R Scheines, J Ramsey
CEUR workshop proceedings 1792, 1, 2016
Mandaten: US National Science Foundation, US National Institutes of Health
Using tutors to improve educational games: A cognitive game for policy argument
MW Easterday, V Aleven, R Scheines, SM Carver
Journal of the Learning Sciences 26 (2), 226-276, 2017
Mandaten: US Institute of Education Sciences, US Department of Education
Is the Doer Effect Robust across Multiple Data Sets?.
KR Koedinger, R Scheines, P Schaldenbrand
International Educational Data Mining Society, 2018
Mandaten: US National Science Foundation
Finding pure submodels for improved differentiation of bifactor and second-order models
R Yang, P Spirtes, R Scheines, SP Reise, M Mansoff
Structural equation modeling: a multidisciplinary journal 24 (3), 402-413, 2017
Mandaten: US National Science Foundation, US National Institutes of Health
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