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Bayesian Variable Selection via Particle Stochastic Search
We focus on Bayesian variable selection in regression models. One challenge is to search the huge model space adequately, while identifying high posterior probability regions. In the past decades, the main focus has been on the use of Markov chain Monte Carlo (MCMC) algorithms for these purposes. In...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2011
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3029030/ https://ncbi.nlm.nih.gov/pubmed/21278860 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spl.2010.10.011 |
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