Robust Estimation in Ignorable Missing data
主 题: Robust Estimation in Ignorable Missing data
报告人: 殷云剑博士 (啪啪啦-美女啪啪-啪啪视频
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时 间: 2015-10-22 12：00-13：15
地 点: 理科一号楼1560
In the presence of a randomly missing response, two different approaches can be employed to estimate the mean of the response variable, one is to reweight the complete case subsample by the inverse of nonmissing probability, another is to fit a regression model for the conditional mean of the response given covariates. Both approaches have merits but fail to be consistent when their underlying model is misspecified. In the talk we introduce some robust estimators in the literature, the robust means the estimator remains consistent when only one of the models is correctly specified. 数学啪啪啦
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