I’m currently a postdoctoral research fellow in the school of social science, the Chinese University of Hong Kong. My main duty is data analysis using advanced statistical modeling such as machine learning, Bayesian network etc. My doctoral training was in the Educational Measurement and Statistics (EMS) program at University of Iowa mainly focusing on Bayesian latent variable modeling, Item response theory modeling.
My research tries to help other practitioners understand their data and correctly interpret, and to wisely use the powerful tools of statistics.
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Ph.D. in Educational Measurement & Statistics, 2019 - 2022
University of Iowa
M.S. in Educational Psychology, 2015 - 2019
University of Kansas
B.S. in Applied Psychology, 2009 - 2013
Soochow University, China
In this study, we proposed a new method of PPMC based on comparing posterior predictive distributions of a hypothesized and saturated BCFA model.
This study proposed efficient Gibbs sampling algorithms with different types of shrinkage priors for variable selection in a latent regression model under a unidimensional two-parameter logistic item response theory model.