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Bayesian Approximate Kernel Regression with Variable Selection
Nonlinear kernel regression models are often used in statistics and machine learning because they are more accurate than linear models. Variable selection for kernel regression models is a challenge partly because, unlike the linear regression setting, there is no clear concept of an effect size for...
שמור ב:
| הוצא לאור ב: | J Am Stat Assoc |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6383716/ https://ncbi.nlm.nih.gov/pubmed/30799887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2017.1361830 |
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