Scalable Approximate Bayesian Inference for Particle Tracking Data

Ruoxi Sun, Liam Paninski

Abstract: Many important datasets in physics, chemistry, and biology consist of noisy sequences of images of multiple moving overlapping particles. In many cases, the observed particles are indistinguishable...