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Integrated Likelihood Inference In Semiparametric Regression Models-何和平 (深圳大学)

主  题: Integrated Likelihood Inference In Semiparametric Regression Models 

内容简介: Consider a semiparametric regression model with a p-dimensional parameter as the parameter of interest, and an unknown function as a nuisance parameter. An integrated likelihood is proposed for the model, eliminating the unknown function by averaging with respect to a Gaussian process. The maximum integrated likelihood estimator and its asymptotic normality are presented. This methodology is illustrated on examples and it can be extended to many other semiparametric models.

报告人: 何和平   教授    博导

时  间: 2018-06-05    15:30 

地  点: 竞慧东楼305 

举办单位: 统计与数学学院、统计科学与大数据研究院 


责任编辑: 科研处
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