Optimal estimation and Cramer-Rao bounds for partial non-gaussian state space models

Partial non-Gaussian state-space models include many models of interest while keeping a convenient analytical structure. In this paper, two problems related to partial non-Gaussian models are addressed. First, we present an efficient sequential Monte Carlo method to perform Bayesian inference. Secon...

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Main Authors: Bergman, N, Doucet, A, Gordon, N
格式: Conference item
出版: 2001