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To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...
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We consider likelihood inference and state estimation by means of importance sampling for state space models with a … are presented that lead to a more effective implementation of importance sampling for state space models. An illustration …
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The aim of these notes is to revisit sequential Monte Carlo (SMC) sampling. SMC sampling is a powerful simulation tool …
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states and model variables, which is sparse and banded in many economic applications and allows for efficient sampling. The … existing literature on precision-based sampling is focused on complete-data applications, whereas the proposed samplers in this …
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instance of precision-based sampling methods that operate on the inverse variance-covariance matrix of the states (also known … other instances of precision-based sampling, computational gains are considerable. Relevant applications include trend …
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