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Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods
This paper develops a nonparametric shrinkage and selection estimator via the measurement error selection likelihood approach recently proposed by Stefanski, Wu, and White. The Measurement Error Kernel Regression Operator (MEKRO) has the same form as the Nadaraya-Watson kernel estimator, but optimiz...
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| 出版年: | J Am Stat Assoc |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5881957/ https://ncbi.nlm.nih.gov/pubmed/29628539 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1222287 |
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