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On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler

On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler

We investigate nonlinear state-space models without a closed-form transition density and propose reformulating such models over their latent noise variables rather than their latent state variables. In doing so the tractable noise density emerges in place of the intractable transition density. For importance sampling methods such as the auxiliary particle …