代文林，中国人民大学统计与大数据研究院预聘副教授、博士生导师。现任统计与大数据研究院学位工作委员会主任，国家治理大数据和人工智能创新平台副主任。他的主要研究方向为非参数统计、复杂数据分析与应用统计，以主要作者身份在Journal of the American Statistical Association，Journal of Machine Learning Research, Statistical Science, Science China Mathematics等国内外一流统计与机器学习期刊上发表论文30余篇。主持国家自然科学基金和国家社会科学基金项目。曾获得泛华统计协会国际大会Young Researcher Award. 担任中国现场统计研究会统计调查分会理事，统计交叉科学分会理事。
个人主页：
https://sites.google.com/view/wenlindai
2004-09至2008-06, 北京理工大学, 理学院, 本科
2008-09至2010-06, 北京理工大学, 理学院, 硕士, 导师:田玉斌教授
2011-09至2014-11, 香港浸会大学, 理学院, 博士, 导师:童铁军教授
2014-11至2015-08，香港浸会大学深圳研究院, 助理研究员
2015-09至2018-08，阿卜杜拉国王科技大学，博士后
2018-09至2023-07，中国人民大学, 统计与大数据研究院, 助理教授
2023-08至今，中国人民大学, 统计与大数据研究院, 准聘副教授
2024-08至今，中国人民大学, 国家治理大数据和人工智能创新平台, 副主任
Selected Publications
Nonparametric statistics
1.
Yan Song
,
Wenlin Dai
*
and Marc G. Genton.
“
Large-scale low-rank Gaussian process prediction with support points”.
Journal of the American Statistical Association
, in press.
2.
Xuehu Zhu, Weixuan Yuan, Zongben Xu and
Wenlin Dai
*
. “Optimal subsampling for principal component analysis”.
Science China: Mathematics
, in press.
3.
Maoyu Zhang
and
Wenlin Dai
*
. “On difference-based gradient estimation in nonparametric regression”.
Statistical Analysis and Data Mining
, 17: e11644, 2024.
4.
Wenlin Dai
,
Yan Song
and Dianpeng Wang. “A subsampling method for regression problems based on minimum energy criterion”.
Technometrics
, 65: 192–205, 2023.
5.
Wenlin Dai
, Tiejun Tong and Lixing Zhu. “On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression”.
Statistical Science
, 32: 455–468, 2017.
6.
Wenlin Dai
, Tiejun Tong and Marc G. Genton. “Optimal estimation of derivatives in nonparametric regression”.
Journal of Machine Learning Research
, 17: 1–25, 2016.
7.
Wenlin Dai
, Yanyuan Ma, Tiejun Tong and Lixing Zhu. “Difference-based variance estimation in nonparametric regression with repeated measurement data”.
Journal of Statistical Planning and Inference
, 163: 1–20, 2015.
Functional
data analysis
1.
Zhuo Qu,
Wenlin Dai
, Carolina Euan, Ying Sun and Marc G. Genton. “Exploratory functional data analysis” (with discussion).
TEST
, in press.
2.
Maoyu Zhang
,
Yan Song
and
Wenlin Dai
*
. “Fast robust location and scatter estimation: a depth-based method”.
Technometrics
, 66: 14–27, 2024.
3.
Zhuo Qu,
Wenlin Dai
*
and Marc G. Genton. “Robust functional multivariate analysis of variance with environmental applications”.
Environmetrics
, 32: e2641, 2021.
4.
Wenlin Dai
, Tomas Mrkvicka, Ying Sun and Marc G. Genton. “Functional outlier detection and taxonomy by sequential transformations”.
Computational Statistics & Data Analysis
, 149: 106960, 2020.
5.
Wenlin Dai
and Marc G. Genton. “Directional outlyingness for multivariate functional data”.
Computational Statistics & Data Analysis
, 131: 50–65, 2019.
6.
Wenlin Dai
and Marc G. Genton. “Multivariate functional data visualization and outlier detection”.
Journal of Computational and Graphical Statistics
, 23: 923–934, 2018.
7.
Wenlin Dai
and Marc G. Genton. “An outlyingness matrix for multivariate functional data classification”.
Statistica Sinica
, 28: 2435–2454, 2018.
Network data analysis
1.
Maoyu Zhang
, Biao Cai,
Wenlin Dai
, Dehan Kong, Hongyu Zhao and Jingfei Zhang. “Learning brain connectivity in social cognition with dynamic network regression”.
Annals of Applied Statistics
, in press.
2.
Haosheng Shi
and
Wenlin Dai
*
. “A community Hawkes model for continuous–time networks with interaction heterogeneity”.
Statistica Sinica
, in press.
3.
Maoyu Zhang
, Jingfei Zhang and
Wenlin Dai
*
. “Fast community detection in dynamic and heterogeneous networks”.
Journal of Computational and Graphical Statistics
, 33: 487–500, 2024.
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: Supervised Student
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: Corresponding Author
