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、贝叶斯分析

四、科研项目

1. 国家社会科学基金一般项目，25BTJ046, 阳性对照剂量探索试验的最优设计及其在肿瘤临床中的应用研究, 2025-09-29至2028-12-31, 20万元, 主持。

2. 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，已结题。

3. 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。

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

2025年6月至今 担任中国数学会均匀设计分会理事

六、科研论文（以下通讯作者用“*”注明）

[1] He Lei, Yue Rong-Xian, Zheng Wei*. (2026). Optimal designs for active controlled does-response models with asymmetric errors, Journal of Statistical Theory and Practice, 20, article number 77.

[2] Lei He*, Ao Xu, Xiao-Dong Zhou. (2026). Optimal designs for multi-group linear mixed models with intraclass covariance structure, Metrika, online Jan. 28, 2026. DOI: 10.1007/s00184-025-01016-z

[3] He Lei, Yue Rong-Xian*, Liu Xiao. (2026). Optimal designs for quasi-likelihood estimation in active controlled dose-finding trials, Journal of the Korean Statistical Society, 55, 319-342

[4] He Lei, Yue Rong-Xian*. (2025). A new class of IMSE-based criteria for optimal designs in multi-response random coefficient regression models, Communications in Mathematics and Statistics, online May 18, 2025. DOI: 10.1007/s40304-024-00426-1

[5] He Daojiang, He Lei*, Ren Jinming. (2025). Designing accelerated degradation tests based on Wiener process with a positive relation between the drift rate and the volatility, Applied Stochastic Models in Business and Industry, 41(2), e70010.

[6] He Daojiang*, Chen Shiyu, He Lei, Cao Mingxiang. (2025). Bayesian inferences for an accelerated degradation model based on tweedie exponential dispersion process. Statistics, 59(3), 682-703.

[7] 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.

[8] Liu Xin, He, Lei*, Yue, Rong-Xian. (2024). D‐optimal designs for multi‐response linear models with two groups. Stat, 13(1), e665.

[9] 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.

[10] 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

[11] He Lei, He Daojiang*. (2023). Bayesian and maximin optimal designs for heteroscedastic multi-factor regression models. Statistical Papers, 64, 1997-2013.

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

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

[14] 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.

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

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

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

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

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

[20] 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.

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

[22] 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.

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

[24] 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.

[25] 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.

七、招生方向

统计学（学硕）、应用统计（专硕）