Stochastic Gradient MCMC for Nonlinear State Space Models

Christopher Aicher, Srshti Putcha, Christopher Nemeth +2

State space models (SSMs) provide a flexible framework for modeling complex time series via a latent stochastic process. Inference for nonlinear, non-Gaussian SSMs is often tackled…