Information theory for data-driven model reduction in physics and biology
Information theory for data-driven model reduction in physics and biology
Model reduction is the construction of simple yet predictive descriptions of the dynamics of many-body systems in terms of a few relevant variables. A prerequisite to model reduction is the identification of these relevant variables, a task for which no general method exists. Here, we develop a systematic approach based …