Monte Carlo smoothing for nonlinear time series
We develop methods for performing smoothing computations in general state-space models. The methods rely on a particle representation of the filtering distributions, and their evolution through time using sequential importance sampling and resampling ideas. In particular, novel techniques are presen...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2004
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