Fast and precise inference on diffusivity in interacting particle systems.

ABSTRACT: Particle systems made up of interacting agents is a popular model used in a vast array of applications, not the least in biology where the agents can represent everything from single cells to animals in a herd. Usually, the particles are assumed to undergo some type of random movements, and a popular way to model this is by using Brownian motion. The magnitude of random motion is often quantified using mean squared displacement, which provides a simple estimate of the diffusion coefficient. However, this method often fails when data is sparse or interactions between agents frequent. In order to address this, we derive a conjugate relationship in the diffusion term for large interacting particle systems undergoing isotropic diffusion, giving us an efficient inference method. The method accu

SUBMITTER: Lindwall G 

PROVIDER: S-EPMC10060353 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature