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      Particle filters for state-space models with the presence of unknown static parameters

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          Sequential Monte Carlo Methods in Practice

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

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              Following a moving target-Monte Carlo inference for dynamic Bayesian models

                Author and article information

                Journal
                IEEE Transactions on Signal Processing
                IEEE Trans. Signal Process.
                Institute of Electrical and Electronics Engineers (IEEE)
                1053587X
                Feb. 2002
                : 50
                : 2
                : 281-289
                Article
                10.1109/78.978383
                2783b346-bcaf-4231-9ffd-9ca65911f83a
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