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Bayesian nonparametric regression and density estimation using integrated nested Laplace approximations
Integrated nested Laplace approximations (INLA) are a recently proposed approximate Bayesian approach to fit structured additive regression models with latent Gaussian field. INLA method, as an alternative to Markov chain Monte Carlo techniques, provides accurate approximations to estimate posterior...
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| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3885145/ https://ncbi.nlm.nih.gov/pubmed/24416633 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4172/2155-6180.1000e125 |
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