Xin Tong

Assistant Professor of Data Sciences and Operations
Room / Office

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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Yiling Chen, Jingyi Li, Xin Tong () "Neyman-Pearson Criterion (NPC): A Model Selection Criterion for Asymmetric Binary Classification ,".
Jessica Li, Xin Tong, Peter Bickel () "Generalized R2 Measures for a Mixture of Bivariate Linear Dependences ,".
Vivian Li, Shan Li, Xin Tong, Ling Deng, Hubin Shi, Jessica Li () "AIDE: annotation-assisted isoform discovery and abundance estimation from RNA-seq data ,".
Xin Tong, Lucy Xia, Jiacheng Wang, Yang Feng () " Neyman-Pearson classification: parametrics and power enhancement ,".
Xin Tong, Yang Feng, Jingyi Li () "Neyman-Pearson (NP) classification algorithms and NP receiver operating characteristics ,"  Science Advances .
Xin Tong, Jingyi Li () "Discussion of "Random-projection ensemble classification" by Cannings, T.I. and Samworth, R.J. ,"  79.
Jianqing Fan, Lei Qi, Xin Tong () "Penalized least squares estimation with weakly dependent data. ,"  Science China Mathematics,  59.
Jingyi Li, Xin Tong () "Genomic Applications of Neyman-Pearson Classification Paradigm ,"  Big Data Analytics in Genomics  Springer (New York)., 4.
Jianqing Fan, Yang Feng, Jiancheng Jiang, Xin Tong () "Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification ,"  Journal of the American Statistical Association   111, 149-158.