Pages that link to "Item:Q2302521"
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The following pages link to High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking (Q2302521):
Displaying 10 items.
- High-dimensional regression and variable selection using CAR scores (Q118588) (← links)
- High-dimensional regression under correlated design: an extensive simulation study (Q2009626) (← links)
- Penalized robust estimators in sparse logistic regression (Q2084709) (← links)
- High-dimensional regression with potential prior information on variable importance (Q2152561) (← links)
- A discussion on practical considerations with sparse regression methodologies (Q2225315) (← links)
- Network tail risk estimation in the European banking system (Q2246610) (← links)
- The adaptive LASSO regression and empirical mode decomposition algorithm for enhancing modelling accuracy (Q6552975) (← links)
- Predictive stability criteria for penalty selection in linear models (Q6567444) (← links)
- Hybrid descriptive-inferential method for key feature selection in prostate cancer radiomics (Q6579694) (← links)
- Variable selection in linear regression models: choosing the best subset is not always the best choice (Q6625369) (← links)
