On the use of cross-validation for the calibration of the adaptive Lasso
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Publication:6563663
DOI10.1002/bimj.202200047zbMath1541.6229MaRDI QIDQ6563663
Vivian Viallon, Unnamed Author, Nadim Ballout
Publication date: 27 June 2024
Published in: Biometrical Journal (Search for Journal in Brave)
Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Cites Work
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- Quantile universal threshold
- The Adaptive Lasso and Its Oracle Properties
- Statistics for high-dimensional data. Methods, theory and applications.
- Discussion: One-step sparse estimates in nonconcave penalized likelihood models
- A survey of cross-validation procedures for model selection
- Data shared Lasso: a novel tool to discover uplift
- An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis
- Simultaneous analysis of Lasso and Dantzig selector
- Asymptotic properties of bridge estimators in sparse high-dimensional regression models
- On the robustness of the generalized fused Lasso to prior specifications
- Applied Predictive Modeling
- A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees
- Extended Bayesian information criteria for model selection with large model spaces
- High-Dimensional Statistics
- Sparse Additive Models
- Minimal penalties and the slope heuristics: a survey
- Regression modelling on stratified data with the lasso
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- The Elements of Statistical Learning
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