We propose a new method, based on sample splitting, for constructing bootstrap confidence bounds for a parameter appearing in the regular smooth function model. It has been demonstrated in the ...

Bootstrap percolation, a model of irreversible activation on graphs, has emerged as a pivotal area within graph theory and statistical mechanics. In this process, nodes (or vertices) on a network are ...

Efron's "bootstrap" method of distribution approximation is shown to be asymptotically valid in a large number of situations, including t-statistics, the empirical and quantile processes, and von ...