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Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies
This paper presents a unified treatment of Gaussian process models that extends to data from the exponential dispersion family and to survival data. Our specific interest is in the analysis of data sets with predictors that have an a priori unknown form of possibly nonlinear associations to the resp...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2011
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3786789/ https://ncbi.nlm.nih.gov/pubmed/24089585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/11-STS354 |
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