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We consider likelihood inference and state estimation by means of importance sampling for state space models with a … and smoother and the simulation smoother which do not rely on a linear Gaussian observation equation. Furthermore, results …
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the observed time series. We develop a simulated maximum likelihood estimation method based on importance sampling and …
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time-varying thresholds and simple estimation via least squares. We show via Monte Carlo simulations that the MAT-HAR has …
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