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Hybrid confidence intervals for informative uniform asymptotic inference after model selection

Hybrid confidence intervals for informative uniform asymptotic inference after model selection

Abstract I propose a new type of confidence interval for correct asymptotic inference after using data to select a model of interest without assuming any model is correctly specified. This hybrid confidence interval is constructed by combining techniques from the selective inference and post-selection inference literatures to yield a short …