统计与决策2025，Vol.41Issue(5)：68-73,6.DOI:10.13546/j.cnki.tjyjc.2025.05.011
复杂纵向数据变系数模型的估计和变量选择研究新进展
New Progress in Estimation and Variable Selection of Variable Coefficient Models for Complex Longitudinal Data
摘要
Abstract
Variable coefficient model is an important structured semi-parametric model,often used for semi-parametric sta-tistical inference of complex data.The issues of model estimation and variable selection are important elements in the study of variable coefficient models.This paper introduces the new developments in the estimation and variable selection of complex longi-tudinal data variable coefficient models,including the variable coefficient model,the longitudinal data variable coefficient model,the longitudinal data variable coefficient EV model,and the longitudinal missing data variable coefficient EV model.Finally,the paper points out some problems remaining to be solved in method improvement,theoretical research,and model validation,and ex-plores the prospects for future researches.关键词
复杂纵向数据/变系数模型/变系数EV模型/二次推断函数Key words
complex longitudinal data/variable coefficient model/variable coefficient EV model/quadratic inference func-tion分类
数理科学引用本文复制引用
付学宝,赵明涛,贺大伟..复杂纵向数据变系数模型的估计和变量选择研究新进展[J].统计与决策,2025,41(5):68-73,6.基金项目
安徽省哲学社会科学一般项目(AHSKF2022D08) （AHSKF2022D08）
