functionals of kernel-type estimators (1 < p < ∞) and is easy to implement in general, mainly due to its recourse to the bootstrap … method. The bootstrap procedure is based on nonparametric bootstrap applied to kernel-based test statistics, with estimated … "contact sets". We provide regularity conditions under which the bootstrap test is asymptotically valid uniformly over a large …

our approach bootstrap fails in practice and theory. Instead, we propose a subsampling procedure with automatic parameter …

different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and …

dimensions in a general time series setting. We propose a novel bootstrap method in this nonstandard context and show that it …