Approximation theory and asymptotic methods form a foundational framework that bridges classical ideas with modern numerical analysis, enabling researchers to obtain practical, near‐optimal solutions ...

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 ...

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 ...