Generative Bayesian Filtering and Parameter Learning

Edoardo Marcelli, Sean O'Hagan, Veronika Rockova

Generative Bayesian Filtering (GBF) provides a powerful and flexible framework for performing posterior inference in complex nonlinear and non-Gaussian state-space models. Our appr…