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stat.ME2022★ 1 cited
Tensor Completion for Causal Inference with Multivariate Longitudinal Data: A Reevaluation of COVID-19 Mandates
Jonathan Auerbach, Martin Slawski, Shixue Zhang
We propose a new method that uses tensor completion to estimate causal effects with multivariate longitudinal data, data in which multiple outcomes are observed for each unit and t…
math.ST2022
Permuted and Unlinked Monotone Regression in : an approach based on mixture modeling and optimal transport
Martin Slawski, Bodhisattva Sen
Suppose that we have a regression problem with response variable Y in and predictor X in , for . In permuted or unlinked regression we have a…