**By Henrique Helfer**

## Motivation

Until very recently, only a very limited classes of feasible non Gaussian time series models were available. For example, one could use extensions of state space models to non Gaussian environments (see, for example, Durbin and Koopman (2012)), but extensive Monte Carlo simulation is required to numerically evaluate the conditional densities that define the estimation process of such models.

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