A Likelihood Approach for Inference of Population Heterogeneity in Particle Ensembles with Second-Order Langevin Dynamics
Researchers have developed a new maximum likelihood approach to infer complex dynamical models and population heterogeneity from particle trajectory data. This method is particularly effective for short trajectories and provides a measure of uncertainty for heterogeneity estimates. The technique is designed to systematically infer models for actively driven entities by analyzing temporal fluctuations and inter-particle variability. AI