Andrew Golightly

Black-box Variational Inference for Stochastic Differential Equations

2018 · arXiv (Cornell University)

Parameter inference for stochastic differential equations is challenging due to the presence of a latent diffusion process. Working with an Euler-Maruyama discretisation for the diffusion, we use variational inference to jointly learn the parameters and …