一、个人简介

贺磊，男，1989年11月生，安徽宿松人，博士，副教授，硕士生导师，2019年博士毕业于上海师范大学概率论与数理统计专业（导师：岳荣先教授）。目前主要从事试验设计、贝叶斯分析和应用统计方向的研究工作。

E-mail：lhstat@163.com

二、工作经历

2022.12至今, 安徽师范大学, 数学与统计学院, 副教授  

2019.07-2022.12, 安徽师范大学, 数学与统计学院, 讲师

三、讲授课程

本科生：多元统计分析、试验设计、线性代数

硕士研究生：多元统计分析

四、主持或参加科研项目

1. 国家自然科学基金青年项目, 12101013, 多响应广义线性模型的最优设计研究, 2022-01-01至2024-12-31, 30万元, 主持。

2. 安徽省自然科学基金青年项目, 2008085QA15, 一类非线性回归模型的最优与稳健设计 , 2020-07至2022-06, 10万元, 主持，已结题。

3. 国家自然科学基金面上项目, 11871143, 多响应线性模型试验设计的容许性、不变性和几何刻画, 2019-01-01至2022-12-31, 50万元, 参与，已结题。

五、学术兼职

2021年4月至今 担任中国现场统计研究会试验设计分会理事

六、科研论文

[1] He Lei, Yue Rong-Xian, Du Andrew. (2024). Optimal designs for comparing curves in regression models with asymmetric errors, Journal of Statistical Planning and Inference, 228, 46-58.

[2] He Lei, Yue Rong-Xian. (2023). Locally R-optimal designs for a class of nonlinear multiple regression models, Statistical Theory and Related Fields, 7(2): 107-120.

[3] He Lei. (2023). Objective Bayesian analysis of accelerated degradation models based on Wiener process with correlation. Communications in Statistics-Theory and Methods, 52(8): 2666-2681

[4] He Lei, He Daojiang. (2022). Bayesian and maximin optimal designs for heteroscedastic multi-factor regression models. Statistical Papers, 1-17, DOI: 10.1007/s00362-022-01368-y.

[5] He Lei, Yue Rong-Xian. (2022). I_L-optimal designs for regression models under the second-order least squares estimator. Metrika, 85, 53–66.

[6] He Lei, Yue Rong-Xian. (2021). D-optimal designs for hierarchical linear models with intraclass covariance structure. Statistical Papers, 62, 1349-1361.

[7] He Daojiang, Hao Xinxin, Xu Kai, He Lei, Liu Youxin. (2021). Feature screening via Bergsma–Dassios sign correlation learning. Statistics and Its Interface, 14, 417 – 430.

[8] He Lei. (2021). Bayesian optimal designs for multi-factor nonlinear models. Statistical Methods & Applications, 30, 223-233.

[9] He Daojiang, Sun Dongchu, He Lei. (2021). Objective Bayesian analysis for the student-t linear regression. Bayesian Analysis, 16, 129-145.

[10] He Lei, He Daojiang. (2020). R-optimal designs for individual prediction in random coefficient regression models. Statistics & Probability Letters, 159, Article 108684, 1-8.

[11] He Lei, Yue Rong-Xian. (2020). R-optimal designs for trigonometric regression models. Statistical Papers, 61, 1997-2013.

[12] He Lei, Yue Rong-Xian. (2019). R-optimality criterion for regression models with asymmetric errors. Journal of Statistical Planning and Inference, 199, 318-326.

[13] He Lei, Sun Dongchu, He Daojiang. (2019). Objective Bayesian analysis for accelerated degradation data using inverse Gaussian process models. Statistics and Its Interface, 12, 295-307.

[14] He Lei. (2018). Optimal designs for multi-factor nonlinear models based on the second-order least squares estimator. Statistics & Probability Letters, 137, 201-208.

[15] He Lei, Yue Rong-Xian, He Daojiang. (2018). Step-stress accelerated degradation test planning based on Wiener process with correlation. Statistical Theory and Related Fields, 2, 58-67.

[16] He Lei, Yue Rong-Xian. (2017). R-optimal designs for multi-factor models with heteroscedastic errors. Metrika, 80, 717-732.

[17] He Lei, He Daojiang. (2017). Improper and proper posteriors with improper hierarchical priors in a multivariate linear model. Chinese Journal of Applied Probability and Statistics, 33, 21-31.

[18] He Lei, He Daojiang, Cao Mingxiang. (2016). Objective Bayesian analysis of degradation model with respect to a Wiener process. Journal of Systems Science and Complexity, 29, 1737-1751.