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Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models
We describe a strategy for Markov chain Monte Carlo analysis of non-linear, non-Gaussian state-space models involving batch analysis for inference on dynamic, latent state variables and fixed model parameters. The key innovation is a Metropolis-Hastings method for the time series of state variables...
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| Main Authors: | , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2887612/ https://ncbi.nlm.nih.gov/pubmed/20563281 |
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