Abdullah Makkeh

Dec 3, 2024 | arxiv.org | Valentin Neuhaus |David Ehrlich |Abdullah Makkeh |Alexander S. Ecker

Jul 8, 2024 | link.aps.org | David Ehrlich |Universität Göttingen |Kyle Schick-Poland |Abdullah Makkeh

Abstract Describing statistical dependencies is foundational to empirical scientific research. For uncovering intricate and possibly nonlinear dependencies between a single target variable and several source variables within a system, a principled and versatile framework can be found in the theory of partial information decomposition (PID). Nevertheless, the majority of existing PID measures are restricted to categorical variables, while many systems of interest in science are continuous.