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Adaptive normalization for IPW estimation

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Abstract

Inverse probability weighting (IPW) is a general tool in survey sampling and causal inference, used both in Horvitz-Thompson estimators, which normalize by the sample size, and Haj\'ek/self-normalized estimators, which normalize by the sum of the inverse probability weights. In this work we study a family of IPW estimators, first propos...More

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Samir Khan
Samir Khan
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