Florens, Jean-Pierre; Horowitz, Joel; Van Keilegom, Ingrid - 2016
In this paper we propose a novel method to construct confidence intervals in a class of linear inverse problems. First, point estimators are obtained via a spectral cut-off method depending on a regularisation parameter α, that determines the bias of the estimator. Next, the proposed confidence...