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Methods and tools for Bayesian variable selection and model averaging in normal linear regression
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Forte, Anabel, Garcia-Donato, Gonzalo and Steel, Mark F. J. (2018) Methods and tools for Bayesian variable selection and model averaging in normal linear regression. International Statistical Review . doi:10.1111/insr.12249 (In Press)
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Official URL: https://doi.org/10.1111/insr.12249
Abstract
In this paper, we briefly review the main methodological aspects concerned with the application of the Bayesian approach to model choice and model averaging in the context of variable selection in regression models. This includes prior elicitation, summaries of the posterior distribution and computational strategies. We then examine and compare various publicly available R-packages, summarizing and explaining the differences between packages and giving recommendations for applied users. We find that all packages reviewed (can) lead to very similar results, but there are potentially important differences in flexibility and efficiency of the packages.
| Item Type: | Journal Article | ||||||
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| Divisions: | Faculty of Science > Statistics | ||||||
| Journal or Publication Title: | International Statistical Review | ||||||
| Publisher: | Wiley-Blackwell Publishing Ltd. | ||||||
| ISSN: | 0306-7734 | ||||||
| Official Date: | 13 February 2018 | ||||||
| Dates: |
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| Date of first compliant deposit: | 4 January 2018 | ||||||
| DOI: | 10.1111/insr.12249 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Access rights to Published version: | Restricted or Subscription Access |
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