Computing stochastic continuous-time models from ARMA models

Abstract

Abstract Some algorithms for computing the underlying continuous-time stochastic model from a sampled ARMA model are presented. Three algorithms are given, all having a modest computational complexity. The properties of the algorithms are analysed and also illustrated by means of numerical examples.