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Debiased machine learning for combining probability and non-probability survey data
We consider estimation of the finite population mean $\bar{Y}$ of an outcome $Y$ using data from a nonprobability sample and auxiliary information from a probability sample. Existing double robust (DR) estimators of this mean $\bar{Y}$ require estimation of two nuisance functions: the conditional pr
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