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个人简介

代文林目前为中国人民大学统计与大数据研究院助理教授、博士生导师。加入统计与大数据研究院之前,他在沙特阿卜杜拉国王科技大学(KAUST)进行博士后研究。2014年于香港浸会大学取得博士学位,2010年、2008年在北京理工大学理学院(现为数学与统计学院)分别取得统计硕士、学士学位。

研究领域

函数型数据的探索性分析、稳健方法; 时空数据分析;子抽样方法;非参数与半参数模型

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)

1. Zhuo Qu#, Wenlin Dai*, and Marc G. Genton (2021) “Robust Functional Multivariate Analysis of Variance with Environmental Applications”. Environmetrics, e2641. 2. Zonghui Yao#, Wenlin Dai*, Marc G. Genton(2020) “Trajectory Functional Boxplots”. Stat, e289. 3. Wenlin Dai, Tomas Mrkvicka, Ying Sun and Marc G. Genton(2020) “Functional outlier detection and taxonomy by sequential transformations”. Computational Statistics & Data Analysis, 106960. 4. Wenlin Dai and Marc G. Genton (2019), "Directional outlyingness for multivariate functional data". Computational Statistics & Data Analysis, 131:50-65. 5. Wenlin Dai and Marc G. Genton (2018), "Functional boxplot for multivariate curves". Stat, 7:e190. 6. Wenlin Dai and Marc G. Genton (2018), "Multivariate functional data visualization and outlier detection". Journal of Computational and Graphical Statistics, 27: 923-934. 7. Wenlin Dai and Marc G. Genton (2018), "An outlyingness matrix for multivariate functional data classification". Statistica Sinica, 28: 2435-2454. 8. Wenlin Dai, Tiejun Tong and Lixing Zhu (2017), "On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression". Statistical Science, 32: 455-468. 9. Wenlin Dai, Yuejin Zhou and Tiejun Tong (2017), "Testing discontinuities in nonparametric regression". Journal of Applied Statistics, 45: 450–473. 10. Wenlin Dai, Tiejun Tong and Marc G. Genton (2016), "Optimal estimation of derivatives in nonparametric regression". Journal of Machine Learning Research, 17: 1–25. 11. Wenlin Dai, Yanyuan Ma, Tiejun Tong and Lixing Zhu (2015), "Difference-based variance estimation in nonparametric regression with repeated measurement data". Journal of Statistical Planning and Inference, 163: 1–20. 12. Wenlin Dai and Tiejun Tong (2014), "Variance estimation in nonparametric regression with jump discontinuities". Journal of Applied Statistics, 41, 530–545.

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