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利用重采样数据进行弱假设数据裂分
Gaussian additive noise data fission is described in Tian and Taylor (2018) and expanded in Rasines and Young (2022). This current work, Leiner et al. (2025), expands greatly on this idea by creati...
随机化选择后的精确推断
Summary We introduce a pivot for exact selective inference with randomization. Not only does our pivot lead to exact inference in Gaussian regression models, but it is also available in closed form. We reduce this problem to inference for a bivariate truncated Gaussian variable. By doing so, we give up some power that is achieved with approximate maximum likelihood estimation in Panigrahi & Taylor (2023). Yet our pivot always produces narrower confidence intervals than a…