(CORRESPONDING AUTHOR*)
1.Fan, Y.,Gu, J., and Yin, G. Sparse concordance-based ordinal classification.Scandinavian Journal of Statistics, to appear.
2. Zhang, Z., Yi, D. andFan, Y.*Doubly robust estimation of optimal dynamic treatment regimes with multicategory treatments and survival outcomes.Statistics in Medicine, to appear.
3.Fan, Y.and Zhao, J. Safe sample screening rules for multicategory angle-based support vector machines.Computational Statistics & Data Analysis, to appear.
4.Fan, Y.,Lu, X., Liu, Y. and Zhao, J. (2022). Angle-based hierarchical classification using exact label embedding.Journal of the American Statistical Association, 117(538): 704-717.
5.Fan, Y.,Lu, X., Zhao, J., Fu, H. and Liu, Y. (2022). Estimating individualized treatment rules for treatments with hierarchical structure.Electronic Journal of Statistics, 16(1): 737-784.
6. Gu, J.,Fan, Y.and Yin, G. (2022). Reconstructing the Kaplan–Meier estimator as an M-estimator.The American Statistician, 76(1): 37-43.
7.Fan, Y.and Yin, G. (2021). Concordance index: surrogacy of progression-free survival for overall survival.Contemporary Clinical Trials, 104, 106353.
8.Fan, Y.and Lu, X. (2020). An online Bayesian approach to change-point detection for categorical data.Knowledge-Based Systems, 196, 105792.
9.Fan, Y.,Wang, G., Lu, X. and Wang, G. (2019). Distributed forecasting and ant colony optimization for the bike-sharing rebalancing problem with unserved demands.Plos One, 14(12): e0226204.