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Local Derivative-Free Approximation of Computationally Expensive Posterior Densities
Bayesian inference using Markov chain Monte Carlo (MCMC) is computationally prohibitive when the posterior density of interest, π, is computationally expensive to evaluate. We develop a derivative-free algorithm GRIMA to accurately approximate π by interpolation over its high-probability density (HP...
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| Publicado no: | J Comput Graph Stat |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5978778/ https://ncbi.nlm.nih.gov/pubmed/29861616 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2012.681255 |
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