Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models
{{output}}
In this paper, we describe a general variational Bayesian approach for approximate inference on nonlinear stochastic dynamic models. This scheme extends established approximate inference on hidden-states to cover: (i) nonlinear evolution and observation functi... ...
