Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks

no code implementations • 13 Apr 2023 • Derya Altıntan, Bastian Alt, Heinz Koeppl

The presented blocked Gibbs particle smoothing algorithm utilizes a sequential Monte Carlo method to estimate the latent states and performs distinct Gibbs steps for the parameters of a biochemical reaction network, by exploiting a jump-diffusion approximation model.

Bayesian Inference