This study considers the theoretical bootstrap “coupling” techniques for nonparametric robust smoothers and quantile … regression, and we verify the bootstrap improvement. To handle the curse of dimensionality, a variant of “coupling” bootstrap … bootstrap method can be used in many situations such as constructing confidence intervals and bands. We demonstrate the …

In this paper bootstrap confidence bands are constructed for nonparametric quantile estimates of regression functions … bootstrap approximation provides an improvement. The case of multidimensional and discrete regressor variables is dealt with …

statistics Hn and its bootstrap version Hn∗, without stipulating the existence of weak limits. As one possible application we …

analysis of copula processes and appropriate bootstrap approximations in the setting of sequentially dependent data. One …

statistical properties of empirical perpetuities, including the behaviour of bootstrap confidence regions. …

a two-step subsample bootstrap method. This method adaptively determines the sample fraction that minimizes the …

This article considers a weighted bootstrap method to approximate the distribution of the maximal deviatiBootstrap … established. Furthermore, simulation studies show that, depending on the choice of the weights, the proposed weighted bootstrap …) original bootstrap. …

certain parametric bootstrap methods in order to determine critical values of the tests. …