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Xin Tong

Assistant Professor of Data Sciences and Operations
Building
BRI
Room / Office
310A

PhD, Princeton University; BS, University of Toronto

Xin Tong's research interests are in the areas of high dimensional statistical inference, learning theory, and social and economic networks. He has published papers in journals that include Journal of the Royal Statistical Society: Series B and the Journal of Machine Learning Research. Professor Tong won The Zellner Thesis Award in Business and Economic Statistics 2013.

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Tong, Xin.,Feng, Yang.,Li, Jingyi. () "Neyman-Pearson (NP) classification algorithms and NP receiver operating characteristics", Science Advances .
Tong, Xin.,Li, Jingyi. () "Discussion of "Random-projection ensemble classification" by Cannings, T.I. and Samworth, R.J. ", 79.
Fan, Jianqing.,Qi, Lei.,Tong, Xin. () "Penalized least squares estimation with weakly dependent data.", Science China Mathematics,, 59.
Li, Jingyi.,Tong, Xin. () "Genomic Applications of Neyman-Pearson Classification Paradigm", Big Data Analytics in Genomics, Springer (New York)., 4.
Fan, Jianqing.,Feng, Yang.,Jiang, Jiancheng.,Tong, Xin. () "Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification", Journal of the American Statistical Association , 111, 149-158.