Semiparametric Analysis of Heterogeneous Data Using Varying-Scale Generalized Linear Models
利用变尺度广义线性模型对异质数据进行半参数分析
This article describes a class of heteroscedastic generalized linear regression models in which a subset of the regression parameters are rescaled nonparametrically, and develops efficient semiparametric inferences for the parametric components of the models. Such models provide a means to adapt for heterogeneity in the data due to varying exposures, varying levels of aggregation, and so on. The class of models considered includes generalized partially linear models and…