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Simultaneous parameter estimation and variable selection via the logit-normal continuous analogue of the spike-and-slab prior
We introduce a Bayesian prior distribution, the logit-normal continuous analogue of the spike-and-slab, which enables flexible parameter estimation and variable/model selection in a variety of settings. We demonstrate its use and efficacy in three case studies—a simulation study and two studies on r...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364637/ https://www.ncbi.nlm.nih.gov/pubmed/30958174 http://dx.doi.org/10.1098/rsif.2018.0572 |