Qingkai Dong

Qingkai Dong 董庆凯

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Hello world!!

I’m Qingkai(pronounced as Tsing-kai) Dong. This is my personal academic website. Currently I’m a PhD student in Statistics in UConn. My research interests include massive data subsampling, frequentist model averaging and survival data analysis. I’m interested in programming, too.

Education

University of Connecticut

Zhongnan University of Economics and Law

Qingdao University

Software

R package subsampling

Balancing computational and statistical efficiency, subsampling techniques offer a practical solution for handling large-scale data analysis. Subsampling methods enhance statistical modeling for massive datasets by efficiently drawing representative subsamples from full dataset based on tailored sampling probabilities. These probabilities are optimized for specific goals, such as minimizing the variance of coefficient estimates or reducing prediction error.

Publications

[1] Dong Q., Liu B., Zhao H. (2023). Weighted Least Squares Model Averaging for Accelerated Failure Time Models. Computational Statistics and Data Analysis, 184: 107743. PDF

[2] zha Zhao H., Liu B., Dong Q., Zhang X. (2023). The Jackknife Model Averaging of Accelerated Failure Time Model with Current Status Data. Acta Mathematicae Applicatae Sinica, 46(3): 313-328. (in Chinese) PDF

[3] Zhao H., Dong Q. (2022). A Variable Selection Method for the Additive Hazards Model with Current Status Data. Journal of Systems Science and Mathematical Sciences, 42(5): 1314-1329. (in Chinese) PDF

Experience

Research Assistant, University of Connecticut and Servier

Research Assistant, University of Connecticut

Research Assistant, University of Connecticut

Teaching Assistant, Zhongnan University of Economics and Law

Awards

Skills