Cross-Validation With Confidence
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Publication:5146047
DOI10.1080/01621459.2019.1672556zbMath1453.62580arXiv1703.07904OpenAlexW2979632005MaRDI QIDQ5146047
Publication date: 22 January 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1703.07904
Ridge regression; shrinkage estimators (Lasso) (62J07) Parametric hypothesis testing (62F03) General topics in artificial intelligence (68T01)
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Uses Software
Cites Work
- Unnamed Item
- The Model Confidence Set
- Distribution-Free Predictive Inference For Regression
- Fence methods for mixed model selection
- Network Cross-Validation for Determining the Number of Communities in Network Data
- Bi-cross-validation of the SVD and the nonnegative matrix factorization
- The Bernstein-Orlicz norm and deviation inequalities
- Concentration inequalities and moment bounds for sample covariance operators
- On the prediction performance of the Lasso
- Consistent tuning parameter selection in high dimensional sparse linear regression
- High-dimensional variable selection
- Lasso-type recovery of sparse representations for high-dimensional data
- Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
- Least angle regression. (With discussion)
- Weak convergence and empirical processes. With applications to statistics
- A bias correction for the minimum error rate in cross-validation
- Comparison and anti-concentration bounds for maxima of Gaussian random vectors
- Model selection via multifold cross validation
- Simultaneous analysis of Lasso and Dantzig selector
- High-dimensional generalized linear models and the lasso
- Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
- Consistency of cross validation for comparing regression procedures
- Sparsity Oriented Importance Learning for High-Dimensional Linear Regression
- On the Increase of Dispersion of Sums of Independent Random Variables
- Confidence sets for model selection by F -testing
- The Predictive Sample Reuse Method with Applications
- Stability Selection
- The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
- Risk consistency of cross-validation with Lasso-type procedures
- Linear Model Selection by Cross-Validation
- Tuning Parameter Selection for the Adaptive Lasso Using ERIC
- Tuning Parameter Selection in High Dimensional Penalized Likelihood
- Combining Linear Regression Models
- Introduction to nonparametric estimation
- Random forests
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