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20222026
most citedHigh-dimensional logistic regression with missing data: Imputation, regularization, and universality

2 citations · 3 across the 8 of their papers we have counts for

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math.ST2026

Adaptive confidence intervals with missing data

Tianyi Ma, Kabir A. Verchand, Chao Gao +1

We consider the construction of confidence intervals for population means when observations are subject to missingness. To accommodate more general missingness mechanisms than miss…

math.ST2026

High-dimensional estimation with missing data: Statistical and computational limits

Kabir Aladin Verchand, Ankit Pensia, Saminul Haque +1

We consider computationally-efficient estimation of population parameters when observations are subject to missing data. In particular, we consider estimation under the realizable…