HIGHLIGHTS
- who: Samir, Khan and Johan, Ugander from the (UNIVERSITY) have published the research work: Adaptive normalization for IPW estimation, in the Journal: (JOURNAL)
- what: The authors study a family of IPW estimators first proposed by Trotter and Tukey in the context of Monte Carlo problems that are normalized by an affine combination of the sample size and a sum of inverse weights. The authors show how selecting an estimator from this family in a data-dependent way to minimize asymptotic variance leads to an iterative procedure that converges to an estimator with connections to regression . . .
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