Bias correction, explosive behavior, non-linearity, model selection, persistence, specification testing. - Bias Korrektur, explosives Verhalten, Nichtlinearität, Modellselektion, Persistenz, Spezifikationstests

This paper proposes a post-model selection inference procedure, called targeted undersmoothing, designed to construct uniformly valid confidence sets for functionals of sparse high-dimensional models, including dense functionals that may depend on many or all elements of the high-dimensional...

This paper introduces and analyzes a procedure called Testing-Based Forward Model Selection (TBFMS) in linear regression problems. This procedure inductively selects covariates that add predictive power into a working statistical model before estimating a final regression. The criterion for...