陈银钧，女，土家族，贵州铜仁人。中共党员，理学博士，副教授。
主要研究方向为非参数、半参数模型，变量选择，结构识别，高维数据，带跳数据等。
一、学习经历
2013.09—2017.07，天津工业大学，理学院，应用统计学专业，获理学学士学位
2017.09—2020.07，贵州大学，数学与统计学院，概率论与数理统计专业，获理学硕士学位
2020.09—2024.07，重庆大学，数学与统计学院，统计学专业，获理学博士学位
二、主要成果
Local least product relative error estimation for single-index varying-coefficient multiplicative model with positive responses, Journal of Computational and Applied Mathematics, 2022, 415: 114478
A new relative error estimation for partially linear multiplicative model, Communications in Statistics-Simulation and Computation, 2023, 52: 4962–4980.
One-step sparse estimates in the reverse penalty for high-dimensional correlated data, Journal of Computational and Applied Mathematics, 2023, 427: 115119
Jump-preserving estimation for the discontinuous link function in a single-index multiplicative model, Chinese Annals of Mathematics, Series B, 2024, to appear
Efficient Variable Selection for High-Dimensional Multiplicative Models: A Novel LPRE-Based Approach, Statistical Papers, 2024, DOI: https://doi.org/10.1007/s00362-024-01545-1
基于LPRE和LASSO方法的股指追踪研究, 经济数学, 2020, 1: 92-96