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math.ST2016
Controlling the Size of Autocorrelation Robust Tests
Benedikt M. Pötscher, David Preinerstorfer
Autocorrelation robust tests are notorious for suffering from size distortions and power problems. We investigate under which conditions the size of autocorrelation robust tests ca…
math.ST2016
Uniformly valid confidence intervals post-model-selection
François Bachoc, David Preinerstorfer, Lukas Steinberger
We suggest general methods to construct asymptotically uniformly valid confidence intervals post-model-selection. The constructions are based on principles recently proposed by Ber…