王光辉 - 华东师范大学 - 经济与管理学部

个人简介

工作经历 2021年- 华东师范大学统计交叉科学研究院副教授 2018年-2021年南开大学统计与数据科学学院讲师教育经历 2018年南开大学统计学博士 2015年南开大学统计学硕士 2012年南开大学数学与应用数学学士

研究领域

变点检测、高维数据统计推断

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）

Preprints Chengde Qian, Guanghui Wang, and Changliang Zou (2023) Reliever: Relieving the burden of costly model fits for changepoint detection. Geng Chen, Yinxu Jia, Guanghui Wang, and Changliang Zou (2023) Zipper: Addressing degeneracy in algorithm-agnostic inference. Journal Publications Junfeng Cui, Guanghui Wang, Fengyi Song, Xiaoyan Ma, and Changliang Zou (2023) Robust multi-task regression with shifting low-rank patterns. Acta Mathematica Sinica, English Series, to appear. Guanghui Wang, Long Feng, and Ping Zhao (2024) New approaches for testing slope homogeneity in large panel data models. Communications in Mathematics and Statistics, to appear. Guanghui Wang, and Long Feng (2023) Computationally efficient and data-adaptive changepoint inference in high dimension. Journal of the Royal Statistical Society Series B, 85, 936–958. Junfeng Cui, Guanghui Wang, Changliang Zou, and Zhaojun Wang (2023) Change-point testing for parallel data sets with FDR control. Computational Statistics & Data Analysis, 182, 107705. Mengtao Wen, Guanghui Wang, Changliang Zou, and Zhaojun Wang (2022) Activation discovery with FDR control: Application to fMRI data. Statistica Sinica, to appear. Liuhua Peng, Guanghui Wang, and Changliang Zou (2023) Measuring, testing, and identifying heterogeneity of large parallel datasets. Statistica Sinica, 33, 2787–2808. Guanghui Wang, and Changliang Zou (2023) cpss: an R package for change-point detection by sample-splitting methods. Journal of Quality Technology, 55, 61–74. Guanghui Wang, Changliang Zou, and Peihua Qiu (2022) Data-driven determination of the number of jumps in regression curves. Technometrics, 64, 312–322. Changliang Zou, Guanghui Wang, and Runze Li (2020) Consistent selection of the number of change-points via sample-splitting. Annals of Statistics, 48, 413–439. Guanghui Wang, Changliang Zou, and Guosheng Yin (2018) Change-point detection in multinomial data with a large number of categories. Annals of Statistics, 46, 2020–2044. Guanghui Wang, Zhaojun Wang, and Changliang Zou (2017) Comparison of a large number of regression curves. Journal of Multivariate Analysis, 162, 122–133. Amirhossein Amiri, Mehdi Koosha, Armaghan Azhdari, and Guanghui Wang (2015). Phase I monitoring of generalized linear model-based regression profiles. Journal of Statistical Computation and Simulation, 85, 2839–2859. Guanghui Wang, Changliang Zou, and Zhaojun Wang (2013) A necessary test for complete independence in high dimensions using rank-correlations. Journal of Multivariate Analysis, 121, 224–232. Conference Publications Hui Chen, Yinxu Jia, Guanghui Wang, and Changliang Zou. Uncertainty quantification for data-driven change-point learning via cross-validation. AAAI Conference on Artificial Intelligence (AAAI), 2024.