Central double cross-validation for estimating parameters in regression models
The ridge regression, lasso, elastic net, forward stagewise regression and the least angle regression require a solution path and tuning parameter, λ, to estimate the coefficient vector. Therefore, it is crucial to find the ideal λ. Cross-validation (CV) is the most widely utilized method for choosi...
| मुख्य लेखक: | |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2016
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| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.utm.my/80959/2/ChyeRouShiMFS2016.pdf |