method to obtain a uniform confidence band and show that the bootstrap can be used to obtain the required critical values …

bootstrap algorithm to implement the proposed test and show its asymptotic validity. The proposed test procedure can apply to …

functionals of kernel-type estimators (1 < p < É) 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 …

theta_n, its bootstrap approximation, and the Bayesian posterior for all agree asymptotically. It is shown that whenever g … is Lipschitz, though not necessarily differentiable, the posterior distribution of g(theta) and the bootstrap … distribution of g(theta_n) coincide asymptotically. One implication is that Bayesians can interpret bootstrap inference for g …

model. Any method for constructing a confidence interval or band for this function must deal with the asymptotic bias of … undersmoothing or explicit bias correction. The latter usually requires oversmoothing. However, there are no satisfactory empirical … methods for selecting bandwidths that under- or oversmooth. This paper extends the bootstrap method of Hall and Horowitz (2013 …

estimation, especially, when researchers use bootstrap to estimate standard errors, which may be wrong without a global estimator …

the distribution of a suitable estimator theta_n, its bootstrap approximation, and the Bayesian posterior for theta all … distribution of g(theta) and the bootstrap distribution of theta_n coincide asymptotically. One implication is that Bayesians can … interpret bootstrap inference for g(theta) as approximately valid posterior inference in a large sample. Another implication …

This article generalizes and extends the kernel block bootstrap (KBB) method of Parente and Smith (2018, 2021) to … moment conditions. KBB procedures that employ bootstrap distributions with generalised empirical likelihood implied … bootstrap distributions in the extant literature. Simulation experiments reveal that critical values arising from the empirical …