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孙高明
孙高明,男,博士(后),讲师。Email:gmsun@henu.edu.cn
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。