个人简介
2010年毕业于北京大学数学科学学院并取得学士学位；2012年与2017分别在美国纽约州立大学奥尔巴尼分校和美国得克萨斯A&M大学获得数学硕士和统计学博士学位。博士毕业后加入中国人民大学统计与大数据研究院并担任助理教授
研究领域
非参数模型降维，流型结构上的优化，低秩回归，高维变量选择，函数型数据分析，生存分析，时间序列分析，统计遗传学，大样本理论和计量经济学
近期论文
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1. He, K., Lian, H., Ma, S., and Huang, J. Z. (2018). Dimensionality reduction and variable selection in multivariate varying-coefficient models with a large number of covariates. Journal of the American Statistical Association , 113(522), 746-754.
2. Whitfield-Cargile, C. M., Cohen, N. D., He, K., Ivanov, I., Goldsby, J. S., Chamoun- Emanuelli, A., Davidson, L. A., and Chapkin, R. S. (2017). Non-invasive transcriptome is reflective of tissue-level transcriptome in a model of NSAID enteropathy. Scientific Reports , 7, 14687.
3. Xia, Q., He, K., and Niu, C. (2017). A Model-adaptive test for parametric single-index time series models. Journal of Time Series Analysis , 38(6), 981-999.
4. He, K. and Huang, J. Z. (2016). Asymptotic properties of adaptive group Lasso for sparse reduced rank regression. Stat , 5(1), 251-261.
5. He, K. and He, S. (2017+). Principal component reduction of a nonparametric additive model with variable selection. Under review in Journal of Machine Learning Research .
6. He, K., Qian, X., Donovan, S. M., Chapkin, R., and Ivanov, I. (2017+). An application of sCCA for integrative analysis of diet-dependent interaction between gut microbiota and host in neonates. (Submitted).
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