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Linear Model Selection when Covariates Contain Errors
Prediction precision is arguably the most relevant criterion of a model in practice and is often a sought after property. A common difficulty with covariates measured with errors is the impossibility of performing prediction evaluation on the data even if a model is completely given without any unkn...
Uloženo v:
| Vydáno v: | J Am Stat Assoc |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5798903/ https://ncbi.nlm.nih.gov/pubmed/29416191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1219262 |
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