Who am I working with?
As a phd candidate, I work with Prof. Jingchen Liu and Prof. Zhiliang Ying at Columbia University.
During 2014 summer, as a summer intern, I worked at ETS with Dr. Matthias von Davier, Dr. Kentaro Yamamoto, and Dr. Xueli Xu.
Research Interest
My research focuses primarily on the development of statistical and computational methods for
the modeling, structure learning, and sequential design of multivariate data, with applications in
educational testing, psychiatric assessment, and other diciplines. I am particularly interested in coupling
and extending a wide range of classical statistical methodologies in multivariate analysis, including
latent variable modeling, graphical modeling, empirical Bayes, semiparametric methods, sequential
analysis, high dimensional data analysis, and model selection.
Publication
Chen, Y., Liu, J., Xu, G. and Ying, Z. (2015). Statistical Analysis of Q-matrix Based Diagnostic Classification Models. Journal of the American Statistical Association, 110, 850-866.
Chen, Y., Liu, J. and Ying, Z. (2015). Online Item Calibration for Q-matrix in CD-CAT. Applied Psychological Measurement, 39, 5-15.
Submitted papers
Chen, Y., Li, X., Liu, J. and Ying, Z. (2015). Regularized Latent Class Analysis with Application in Cognitive Diagnosis. Psychometrika. Under review.
Sun, J., Chen, Y., Liu, J., Ying, Z. and Tao, X. (2015). Latent Variable Selection for Multidimensional Item Response Theory Models via L1 Regularization. Psychometrika. Under review.
Chen, Y., von Davier, M., Xu, X. and Yamamoto, K. (2015). Will Using a Diagnostic Model Pay Off - Where to Look, and What to Look for… ETS Research Report Series. Under review.
Preprints
Chen, Y., Li, X., Liu, J. and Ying, Z. (2015). Statistical Analysis of Multivariate Binary Data: Models and Model Selection Methods. Preprint.
Chen, Y., Li, X., Xu, G., Liu, J. and Ying, Z. (2015). A Spectral Clustering Algorithm for Analyzing Large Scale Personality Assessment Data. Preprint.
Li, X., Chen, Y., Chen, X., Liu, J. and Ying, Z. (2015). Optimal Stopping and Worker Selection in Crowdsourcing: An Adaptive Sequential Probability Ratio Test Framework. Preprint.
Conference Presentation
A Regularized Approach for the Estimation of Q-matrix in Diagnostic Classification Models. Minghui Yu Memorial Conference, New York, NY, April 2014.
A Regularized Approach for the Estimation of Q-matrix in Diagnostic Classification Models. 79th Annual Meeting of the Psychometric Society, Madison, WI, July 2014.
Latent Variable Model Selection for Binary Response Data. Minghui Yu Memorial Conference, New York, NY, April 2015.
Latent Variable Model Selection for Binary Response Data with Application in Educational testing and Psychiatric Assessment. 80th Annual Meeting of the Psychometric Society, Beijing, July 2015.
Latent Variable Model Selection for Binary Response Data with Application in Educational testing and Psychiatric Assessment. Joint Statistical Meetings, Seattle, WA, August 2015.
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