Three’s a crowd: group interactions in the real-world data, and how to find them

Abstract

Discovering the complex interactions among variables in real-world events is critical, whether it is brain function, the financial market, or even epidemics. While traditional statistical tools only account for interactions between two variables, our new method examines group dependencies to understand more complex interactions in real-world data from neuroscience, economics, and epidemiology.