A robust design selector minimizes worst-case planning risk over an ambiguity set of exposure mechanisms, with Wasserstein bounds and selector theorems, yielding different recommendations on public datasets.
Robust and efficient multiple-unit switchback experimentation.arXiv preprint arXiv:2506.12654,
2 Pith papers cite this work. Polarity classification is still indexing.
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A unified least squares framework for identifying and estimating causal effects in crossover designs that remains valid under misspecified working models.
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Principled analysis of crossover designs: causal effects, efficient estimation, and robust inference
A unified least squares framework for identifying and estimating causal effects in crossover designs that remains valid under misspecified working models.