We provide novel, high-order accurate methods for non-parametric inference on quantile differences between two populations in both unconditional and conditional settings. These quantile differences ...

The Annals of Statistics, Vol. 48, No. 3 (June 2020), pp. 1383-1408 (26 pages) The problem of determining a periodic Lipschitz vector field b = (b₁, . . . , bd) from an observed trajectory of the ...

Empirical likelihood methods have emerged as a robust, non‐parametric framework for statistical inference that skilfully bypasses the need for strong parametric assumptions. By constructing likelihood ...

Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

A general program that focuses on the analysis of quantities, magnitudes, forms, and their relationships, using symbolic logic and language. Includes instruction in algebra, calculus, functional ...