About
Chong Gu is a Professor of Statistics at Purdue University within the College of Science. His research focuses on Asymptotics, Computational Statistics, Image Analysis, Model Selection, Nonparametric Regression, Spatial Statistics, and Survival Analysis.
- Education:
- B.En. in Computer Science (1982) from Shanghai Jiaotong University
- M.S. in Statistics (1984) from Academia Sinica
- Ph.D. in Statistics (1989) from University of Wisconsin
- B.S. in Mathematics (2004) from University of Science and Technology of China
His research spans smoothing spline ANOVA models, nonparametric regression, and hazard estimation, with a strong emphasis on computational efficiency and theoretical rigor. Articles from 2012-2022 highlight trends in high-dimensional density estimation, soft classification, and penalized likelihood methods across statistics and machine learning.
Previous Ph.D. advisees include Pang Du, Nels Grevstad, Chun Han, Young-Ju Kim, Ping Ma, Chunfu Qiu (joint with Professor James O. Berger), and Jingyuan Wang.
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