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Peixin Zhao
Personal Information
Name (English): Peixin Zhao
Name (Pinyin): Zhao Peixin
E-Mail:
331897d7c9d02194bb8b3b186f335d3cc2a1058bfa03b0f0a093861c03edf986f27166fa44c587f4eac79e27627c057b56b2ac3a80a78c748b11747bb55e3ac7dcb42b6456e4cecd0939e69004ecd4a2968c6efe740157002bb967ef2f27f745aaec8b482a6a27a9261f4084715c0e7c391515292a036561b1b45f00270e3e90
School/Department: 数学与统计学院
Education Level: With Certificate of Graduation for Doctorate Study
Degree: 理学博士学位
Professional Title: Professor
Status: 在岗
Alma Mater: 北京工业大学
Paper Publications
Current position:
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Paper Publications
Peixin Zhao,张帆,周小双.不完全观测数据下混合效应模型的正交投影估计:工程数学学报,2023(1)
Peixin Zhao,肖仕维,李庆.部分线性工具变量模型中有效工具变量识别及应用研究:应用数学,2022(3)
Peixin Zhao,周小双,王秀丽,黄星寿.A new orthogonality empirical likelihood for varying coefficient partially linear instrumental variable models with longitudinal data:communications in statistics-simulation and computation,2020(12)
Peixin Zhao,YYP,周小双.Weighted empirical likelihood inferences for a class of varying coefficient ARCH-M models:Journal of Nonparametric Statistics,2021(1)
Peixin Zhao,吴昊.基于回归加权的水污染治理绩效评价方法研究:环境科学与管理,2021(11)
Peixin Zhao,CSL,周小双.Composite Quantile Regression based Robust Empirical Likelihood for Partially Linear Spatial Autoregressive Models:Statistics and Its Interface,2024(4)
Peixin Zhao,YYP.A new orthogonality-based estimation for varying-coefficient partially linear models:journal of the korean statistical society,2019(1)
Peixin Zhao,吴昊,CSL,YYP.Orthogonal projection based variable selection for semiparametric spatial autoregressive models:Communications in Statistics - Simulation and Computation,2024(1)
Peixin Zhao,甘浩耕,CSL,周小双.Orthogonality based penalized GMM estimation for variable selection in partially linear spatial autoregressive models:Communications in Statistics- Theory and Methods,2023(6)
Peixin Zhao,王君琦,TXR,Yang Weiming.Double penalized regularization estimation for partially linear instrumental variable models with ultrahigh dimensional instrumental variables:Communications in Statistics - Simulation and Computation,2023(10)
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