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Identifying influential observations in Bayesian models by using Markov chain Monte Carlo
In statistical modelling, it is often important to know how much parameter estimates are influenced by particular observations. An attractive approach is to re-estimate the parameters with each observation deleted in turn, but this is computationally demanding when fitting models by using Markov cha...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Ltd
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500673/ https://www.ncbi.nlm.nih.gov/pubmed/21905065 http://dx.doi.org/10.1002/sim.4356 |