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stat.ME2021★ 1 cited
Selective Inference in Propensity Score Analysis
Yoshiyuki Ninomiya, Yuta Umezu, Ichiro Takeuchi
Selective inference (post-selection inference) is a methodology that has attracted much attention in recent years in the fields of statistics and machine learning. Naive inference…
stat.ME2019
Selective Inference via Marginal Screening for High Dimensional Classification
Yuta Umezu, Ichiro Takeuchi
Post-selection inference is a statistical technique for determining salient variables after model or variable selection. Recently, selective inference, a kind of post-selection inf…