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A New Approach to Drawing States in State Space Models

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Author Info
McCAUSLAND, William J.
MILLER, Shirley
PELLETIER, Denis

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Abstract

We introduce a new method for drawing state variables in Gaussian state space models from their conditional distribution given parameters and observations. Unlike standard methods, our method does not involve Kalman filtering. We show that for some important cases, our method is computationally more efficient than standard methods in the literature. We consider two applications of our method.

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Publisher Info
Paper provided by Universite de Montreal, Departement de sciences economiques in its series Cahiers de recherche with number 2007-06.

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Length: 26 pages
Date of creation: 2007
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Handle: RePEc:mtl:montde:2007-06

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Keywords: State sce models; Stochastic volatility; Count data;

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  1. Kim, Sangjoon & Shephard, Neil & Chib, Siddhartha, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," Review of Economic Studies, Blackwell Publishing, vol. 65(3), pages 361-93, July. [Downloadable!] (restricted)
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This page was last updated on 2009-11-1.


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