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and smoother and the simulation smoother which do not rely on a linear Gaussian observation equation. Furthermore, results …
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This paper introduces a novel simulation-based filtering method for general state space models. It allows for the …
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The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
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This paper introduces a novel approach to simulation smoothing for nonlinear and non-Gaussian state space models. It …
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