四川大学学报（自然科学版）2011，Vol.48Issue(2)：260-266,7.DOI:10.3969/j.issn.0490-6756.2011.02.002
潜半参数回归模型的变量选择
Variable selection in latent semiparametric regression models
摘要
Abstract
In this paper,a latent semiparametric regression model and its estimation method are proposed. The proposed method is based on double penalizing and allows to estimate their influence at the same time. The estimates of the latent variables are byproduct of the analysis. Simulations show that the algorithm works out.关键词
变量选择/潜变量/半参数回归/EM算法/判罚样条Key words
variable selection/ latent variables/ semiparametric regression/ EM algorithm/ penalized splines分类
数理科学引用本文复制引用
吴凤妹..潜半参数回归模型的变量选择[J].四川大学学报（自然科学版）,2011,48(2):260-266,7.
