Liseo, Brunero; Rousseau, Judith; Chopin, Nicolas - Université Paris-Dauphine (Paris IX) - 2013
Gaussian time-series models are often specified through their spectral density. Such models pose several computational challenges, in particular because of the non-sparse nature of the covariance matrix. We derive a fast approximation of the likelihood for such models. We use importance sampling...