讲师
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孙高明，男，博士（后），讲师。email：
办公室：河南大学郑州校区九章学堂南楼c座301室
教育背景：
2019.09—2023.12，博士，华东师范大学，统计学
2016.09—2019.06，硕士，河南大学，概率论与数理统计
工作经历：
2024.03—至今，河南大学，讲师
研究领域：
统计机器学习，高维统计，稳健统计
科研成果：
[1] gaoming sun, xiaozhou wang, yibo yan, riquan zhang. (2024) robust distributed multicategory angle-based classification for massive data. metrika, 87, 299–323.
[2]gaoming sun, xiaozhou wang, yibo yan, riquan zhang. (2023) statistical inference and distributed implementation for linear multicategory svm. stat, 12(1), e611.
[3] gaoming sun, junshan xie. (2023) high-dimensional edgeworth expansion of lr statistic for testing block circular symmetry covariance structure and its errors. communications in statistics-theory and methods, 52(24), 8636-8657.
[4] junshan xie, gaoming sun. (2021) high-dimensional edgeworth expansion of the determinant of sample correlation matrix and its error bound. stochastic, 93(3), 428-446.
[5] gaoming sun, junshan xie. (2020) asymptotic normality and moderate deviation principle for high-dimensional likelihood ratio statistic on block compound symmetry covariance structure. statistics, 54(1), 114-134.
[6]junshan xie, gaoming sun. (2019) a test for block circular symmetric covariance structure with divergent dimension. esaim: probability and statistics, 23, 672-696.
科研项目：
1.（参与）国家自然科学基金面上项目 (11971171)：分布式统计计算方法和理论若干研究。
2.（参与）国家自然科学基金青年项目 (11401169)：相依型随机矩阵谱统计量的渐近理论及应用。