167 citations · 825 across the 73 of their papers we have counts for
Showing 2023 · stat.MEShow all
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stat.ME2023
Double machine learning and design in batch adaptive experiments
Harrison H. Li, Art B. Owen
We consider an experiment with at least two stages or batches and subjects per batch. First, we propose a semiparametric treatment effect estimator that efficiently pools in…
stat.ME2023★ 2 cited
Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
Ruggero Bellio, Swarnadip Ghosh, Art B. Owen +1
Estimation of crossed random effects models commonly requires computational costs that grow faster than linearly in the sample size , often as fast as , making them…
stat.ME2023★ 2 cited
Scalable solution to crossed random effects model with random slopes
Disha Ghandwani, Swarnadip Ghosh, Trevor Hastie +1
The crossed random effects model is widely used, finding applications in various fields such as longitudinal studies, e-commerce, and recommender systems, among others. However, th…