8 citations · 15 across the 4 of their papers we have counts for
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stat.ME2025
Gold after Randomized Sand: Model-X Split Knockoffs for Controlled Transformation Selection
Yang Cao, Hangyu Lin, Xinwei Sun +1
Controlling the False Discovery Rate (FDR) is critical for reproducible variable selection, especially given the prevalence of complex predictive modeling. The recent Split Knockof…
stat.ME2023
Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate
Yang Cao, Xinwei Sun, Yuan Yao
Multiple comparisons in hypothesis testing often encounter structural constraints in various applications. For instance, in structural Magnetic Resonance Imaging for Alzheimer's Di…
stat.ME2021★ 8 cited
Controlling the False Discovery Rate in Transformational Sparsity: Split Knockoffs
Yang Cao, Xinwei Sun, Yuan Yao
Controlling the False Discovery Rate (FDR) in a variable selection procedure is critical for reproducible discoveries, and it has been extensively studied in sparse linear models.…