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Bayesian Case Influence Diagnostics for Survival Models
We propose Bayesian case influence diagnostics for complex survival models. We develop case deletion influence diagnostics for both the joint and marginal posterior distributions based on the Kullback–Leibler divergence (K–L divergence). We present a simplified expression for computing the K–L diver...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2664402/ https://ncbi.nlm.nih.gov/pubmed/18422991 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2008.01037.x |
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