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 ...

This is a preview. Log in through your library . Abstract This paper proposes a pragmatic alliance between critical realism and non-parametric statistical techniques in pursuit of causal explanations ...

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

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 ...

This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...