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Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models

https://doi.org/10.1080/10618600.1996.10474692
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2 of 18 checkable references need attention · checked 2026-08-02

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References needing attention

does not resolve to a known work10.2307/2290275
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The 16 checked references that resolve
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The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother
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The 9 references without a DOI — listed, not checked
no DOI — not checkedSecond International Symposium on Information Theory
no DOI — not checkedOptimal Filtering
no DOI — not checkedCIT0009
no DOI — not checkedForecasting, Structural Time Series Models and the Kalman Filter
no DOI — not checkedCIT0014
no DOI — not checkedKitagawa, G. “A Monte Carlo Filtering and Smoothing Method for Non-Gaussian Nonlinear State Space Models”. Proceedings of the 2nd U.S.–Japan Joint Seminar on Statistical Time Series Analysis. pp.110–131.
no DOI — not checkedNumerical Recipes in FORTRAN, The Art of Scientific Computing,
no DOI — not checkedAkaike Information Criterion Statistics
no DOI — not checkedLecture Notes in Economics and Mathematical Systems
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