Statistical Inference for the Optimal Approximating Model


Abstract: In the setting of high-dimensional linear models with Gaussian noise, we investigate the possibility of confidence statements connected to model selection. Although there exist numerous procedures for adaptive (point) estimation, the construction of adaptive confidence regions is severely limited (cf. Li, 1989). The present paper sheds new light… (More)


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