A grid-based hidden Markov model approximation is used to build importance proposals inside particle Gibbs with ancestor sampling, cutting compute on regime-switching state-space models.
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Grid Particle Gibbs with Ancestor Sampling for State-Space Models
A grid-based hidden Markov model approximation is used to build importance proposals inside particle Gibbs with ancestor sampling, cutting compute on regime-switching state-space models.