范一苇 - 北京理工大学 - 数学与统计学院

个人简介

硕士研究生导师，研究方向为统计机器学习、个性化医疗，研究成果发表于Journal of the American Statistical Association, Statistics in Medicine, Electronic Journal of Statistics等统计学国际期刊。教育背景 2015.09-2020.06 博士统计学中国人民大学统计学院 2011.09-2015.06 学士数学与应用数学厦门大学数学科学学院工作经历 2020.07-2022.07 博士后香港大学统计与精算系 2018.09-2019.09 访问学者北卡罗来纳大学教堂山分校统计与运筹系

研究领域

统计机器学习；个性化医疗

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Fan, Y., Gu, J., and Yin, G. Sparse concordance-based ordinal classification. Scandinavian Journal of Statistics, to appear. Zhang, Z., Yi, D. and Fan, Y.* Doubly robust estimation of optimal dynamic treatment regimes with multicategory treatments and survival outcomes. Statistics in Medicine, to appear. Fan, Y. and Zhao, J. Safe sample screening rules for multicategory angle-based support vector machines. Computational Statistics & Data Analysis, to appear. 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. 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. Gu, J., Fan, Y. and Yin, G. (2022). Reconstructing the Kaplan–Meier estimator as an M-estimator. The American Statistician, 76(1): 37-43. Fan, Y. and Yin, G. (2021). Concordance index: surrogacy of progression-free survival for overall survival. Contemporary Clinical Trials, 104, 106353. Fan, Y. and Lu, X. (2020). An online Bayesian approach to change-point detection for categorical data. Knowledge-Based Systems, 196, 105792. 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.