Accra - A new study dispels the common misconception that environmentally sensitive industries (ESIs) are solely responsible ...

Abstract: Non-parametric inference techniques are proposed to understand latent structure behind sequences of spectral activity indicators, i.e. packet start and stop times, of networked wireless ...

The heightened volatility of commodity prices in recent years, reflecting the effects of the pandemic and the war in Ukraine, begs the longstanding question of the optimal fiscal policy response to ...

Non-parametric regression is a type of statistical analysis that makes no assumptions about the functional form of the relationship between variables. Non-parametric regression is a statistical ...

Abstract: In this paper, we propose a new algorithm for sequential non-parametric hypothesis testing based on Random Distortion Testing (RDT). The data-based approach is non-parametric in the sense ...

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 ...