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Editorial: New Advances in High-Dimensional and Non-Asymptotic Statistics

Author

Listed:
  • Huiming Zhang

    (Institute of Artificial Intelligence, Beihang University, Beijing 100191, China)

  • Xiaowei Yang

    (College of Mathematics, Sichuan University, Chengdu 610041, China)

Abstract

This editorial paper reviews the Special Issue “New Advances in High-Dimensional and Non-asymptotic Statistics” and summarizes the ten collected papers [...]

Suggested Citation

  • Huiming Zhang & Xiaowei Yang, 2025. "Editorial: New Advances in High-Dimensional and Non-Asymptotic Statistics," Mathematics, MDPI, vol. 13(14), pages 1-13, July.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:14:p:2267-:d:1701252
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    References listed on IDEAS

    as
    1. Yanfang Zhang & Chuanhua Wei & Xiaolin Liu, 2022. "Group Logistic Regression Models with l p,q Regularization," Mathematics, MDPI, vol. 10(13), pages 1-15, June.
    2. Pengjie Zhou & Haoyu Wei & Huiming Zhang, 2024. "Selective Reviews of Bandit Problems in AI via a Statistical View," Papers 2412.02251, arXiv.org, revised Feb 2025.
    3. Xiaowei Yang & Lu Pan & Kun Cheng & Chao Liu, 2023. "Optimal Non-Asymptotic Bounds for the Sparse β Model," Mathematics, MDPI, vol. 11(22), pages 1-19, November.
    4. He, Xuming & Shao, Qi-Man, 2000. "On Parameters of Increasing Dimensions," Journal of Multivariate Analysis, Elsevier, vol. 73(1), pages 120-135, April.
    5. Shahin Tavakoli & Davide Pigoli & John A. D. Aston & John S. Coleman, 2019. "A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1081-1096, July.
    6. Xiaojing Liu & Ping Yu & Jianhong Shi, 2025. "Estimation for Partial Functional Multiplicative Regression Model," Mathematics, MDPI, vol. 13(3), pages 1-22, January.
    7. Yunzhi Zhang & Xiaotian Guo & Jianzhong Liu & Xueping Chen, 2024. "Generalizations of the Kantorovich and Wielandt Inequalities with Applications to Statistics," Mathematics, MDPI, vol. 12(18), pages 1-13, September.
    8. Guangqiang Teng & Yanpeng Li & Boping Tian & Jie Li, 2023. "Sharper Concentration Inequalities for Median-of-Mean Processes," Mathematics, MDPI, vol. 11(17), pages 1-12, August.
    9. Hang Zhou & Fang Yao & Huiming Zhang, 2023. "Functional linear regression for discretely observed data: from ideal to reality," Biometrika, Biometrika Trust, vol. 110(2), pages 381-393.
    10. Shaomin Li & Haoyu Wei & Xiaoyu Lei, 2021. "Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations," Papers 2110.03552, arXiv.org, revised Feb 2022.
    11. Shahin Tavakoli & Davide Pigoli & John A. D. Aston & John S. Coleman, 2019. "Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain”," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1103-1104, July.
    12. Shaomin Li & Haoyu Wei & Xiaoyu Lei, 2022. "Heterogeneous Overdispersed Count Data Regressions via Double-Penalized Estimations," Mathematics, MDPI, vol. 10(10), pages 1-25, May.
    13. Alexander Petersen & Hans-Georg Müller, 2019. "Wasserstein covariance for multiple random densities," Biometrika, Biometrika Trust, vol. 106(2), pages 339-351.
    14. Hengzhen Huang & Guangni Mo & Haiou Li & Hong-Bin Fang, 2022. "Representation Theorem and Functional CLT for RKHS-Based Function-on-Function Regressions," Mathematics, MDPI, vol. 10(14), pages 1-23, July.
    15. Pengjie Zhou & Haoyu Wei & Huiming Zhang, 2025. "Selective Reviews of Bandit Problems in AI via a Statistical View," Mathematics, MDPI, vol. 13(4), pages 1-53, February.
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