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 ...

This thesis contains explorations of uncertainty quantification in a variety of nonparametric statistical settings, focusing on novel uses of uncertainty to enhance inference in ways which may ...