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An Information Matrix Prior for Bayesian Analysis in Generalized Linear Models with High Dimensional Data
An important challenge in analyzing high dimensional data in regression settings is that of facing a situation in which the number of covariates p in the model greatly exceeds the sample size n (sometimes termed the “p > n” problem). In this article, we develop a novel specification for a general...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2009
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2909687/ https://ncbi.nlm.nih.gov/pubmed/20664718 |
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