职位

讲师

个人经历

2014.09 - 2019.06 华东师范大学经济与管理学部统计学院 硕博连读

2016.08 - 2017.07 美国威斯康星大学麦迪逊分校统计系 访问

研究方向

高维数据分析、大数据分析及其应用

学术论文

[5] Lyu Ni,Fang Fang,Jun Shao. Feature screening for ultrahigh dimensional categorical data with covariates missing at random[J]. Computational Statistics and Data Analysis, 2020, 142.

[4] 朱雁,倪葎,倪明.初中数学学习难点的性别差异分析[J].全球教育展望,2019,48(11):106-115.

[3] Fang Fang,Lyu Ni. Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju[J]. Statistical Theory and Related Fields,2018,2(2).

[2] Lyu Ni,Fang Fang,Fangjiao Wan. Adjusted Pearson Chi-Square feature screening for multi-classification with ultrahigh dimensional data[J]. Metrika,2017,80(6-8).

[1] Lyu Ni,Fang Fang. Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification[J]. Taylor & Francis,2016,28(3).

其他论文

[2] Kai Tan,Lyu Ni. Summaries of three keynote lectures at the SAE – 2018[J]. Statistical Theory and Related Fields,2018,2(2).   

[1] Lyu Ni,Kai Tan. Interview with Professor Danny Pfeffermann[J]. Statistical Theory and Related Fields,2018,2(2).