Duanli Yan
About
Duanli Yan has authored 18 papers that have received a total of 229 indexed citations.
This includes 7 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. The topics of these papers are Bayesian Modeling and Causal Inference (6 papers), Measurement Invariance in Structural Equation Modeling (5 papers) and Advanced Statistical Modeling Techniques (3 papers). Duanli Yan is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Measurement Invariance in Structural Equation Modeling (5 papers) and Advanced Statistical Modeling Techniques (3 papers) and collaborates with scholars based in United States and The Netherlands. Duanli Yan's co-authors include Russell G. Almond, Robert J. Mislevy, Charles Lewis, Joris Mulder and Linda S. Steinberg and has published in prestigious journals such as The American Statistician, Journal of Educational and Behavioral Statistics and International Journal of Science and Mathematics Education
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