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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...
Shranjeno v:
| izdano v: | J Am Stat Assoc |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2018
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| Teme: | |
| Online dostop: | 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 |
| Oznake: |
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