A New Characterization of Independence Based on Local Correlations

A New Characterization of Independence Based on Local Correlations

Explore a novel approach to characterizing independence through the lens of local correlations in this 25-minute conference talk presented at the 51st Conference on Applications of Mathematics. Delve into the research findings of Damian Jelito from the Institute of Mathematics of the Polish Academy of Sciences and Jagiellonian University as he unveils a fresh perspective on understanding statistical independence using localized correlation analysis.