Brian W. Junker
About
Brian W. Junker has authored 52 papers that have received a total of 2.6k indexed citations.
This includes 25 papers in Statistics and Probability, 16 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. The topics of these papers are Measurement Invariance in Structural Equation Modeling (16 papers), Statistical Methods and Bayesian Inference (14 papers) and Advanced Statistical Modeling Techniques (9 papers). Brian W. Junker is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (16 papers), Statistical Methods and Bayesian Inference (14 papers) and Advanced Statistical Modeling Techniques (9 papers) and collaborates with scholars based in United States, The Netherlands and Canada. Brian W. Junker's co-authors include Klaas Sijtsma, Richard J. Patz, James T. Becker, Fabrizio Lecci and Kenneth R. Koedinger and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Epidemiology and The Annals of Statistics.
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