490 citations · 974 across the 26 of their papers we have counts for
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math.ST2025
Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap
Lorenzo Testa, Qi Xu, Jing Lei +1
In modern scientific applications, large volumes of covariate data are readily available, while outcome labels are costly, sparse, and often subject to distribution shift. This asy…
math.ST2007
Improving power in genome-wide association studies: weights tip the scale
Kathryn Roeder, Bernie Devlin, Larry Wasserman
Genome-wide association analysis has generated much discussion about how to preserve power to detect signals despite the detrimental effect of multiple testing on power. We develop…
math.ST2006★ 32 cited
Weighted Hypothesis Testing
Larry Wasserman, Kathryn Roeder
The power of multiple testing procedures can be increased by using weighted p-values (Genovese, Roeder and Wasserman 2005). We derive the optimal weights and we show that the power…