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Model fitting and inference under Latent Equilibrium Processes
This paper presents a methodology for model fitting and inference in the context of Bayesian models of the type f(Y | X, θ)f(X | θ)f(θ), where Y is the (set of) observed data, θ is a set of model parameters and X is an unobserved (latent) stationary stochastic process induced by the first order tran...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2007
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2557441/ https://ncbi.nlm.nih.gov/pubmed/18836571 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-006-9015-6 |
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