A non-iterative (trivial) method for posterior inference in stochastic volatility models

We propose a new non-iterative, very simple but accurate, Bayesian inference procedure for the stochastic volatility model. The only requirement of our approach is to solvez large, sparse linear system which we avoid by iteration. (C) 2017 Elsevier B.V. All rights reserved.