The use of approximating models in Monte
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Anthony Y.C Kuk
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Article
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1999
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Elsevier Science
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English
β 102 KB
To obtain the likelihood of a non-Gaussian state-space model, Durbin and Koopman (1997, Biometrika, 84, 669 -684) ΓΏrst calculate the likelihood under an approximating linear Gaussian model and then use Monte Carlo methods to estimate the necessary adjustment factor. We show that Durbin and Koopman's