Bootstrapping multiple linear regression after variable selection
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Publication:2066517
DOI10.1007/s00362-019-01108-9zbMath1477.62176OpenAlexW2937979392WikidataQ128116861 ScholiaQ128116861MaRDI QIDQ2066517
Lasanthi C. R. Pelawa Watagoda, David J. Olive
Publication date: 14 January 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-019-01108-9
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Cites Work
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- Bagging predictors
- On various confidence intervals post-model-selection
- Asymptotic confidence intervals in ridge regression based on the Edgeworth expansion
- Asymptotic properties of criteria for selection of variables in multiple regression
- On bagging and nonlinear estimation
- Can one estimate the conditional distribution of post-model-selection estimators?
- Relaxed Lasso
- Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
- Theoretical comparison of bootstrap confidence intervals
- Bootstrapping regression models
- Estimating the dimension of a model
- Model selection and model averaging after multiple imputation
- Uniform asymptotic inference and the bootstrap after model selection
- Partial least squares prediction in high-dimensional regression
- Applications of hyperellipsoidal prediction regions
- Asymptotics for Lasso-type estimators.
- Analyzing bagging
- Least angle regression. (With discussion)
- Shrinkage averaging estimation
- Data-driven nonparametric prediction intervals
- Consistency of MLE, LSE and M-estimation under mild conditions
- Interval Estimation by Frequentist Model Averaging
- Inner envelopes: efficient estimation in multivariate linear regression
- Confidence sets for model selection by F -testing
- Model Selection and Model Averaging
- CAN ONE ESTIMATE THE UNCONDITIONAL DISTRIBUTION OF POST-MODEL-SELECTION ESTIMATORS?
- Model Selection: An Integral Part of Inference
- The Focused Information Criterion
- Big data and partial least‐squares prediction
- Estimation and Accuracy After Model Selection
- Linear Model Selection by Cross-Validation
- Robust Multivariate Analysis
- The bootstrap in hypothesis testing
- Linear Regression
- Some Comments on C P
- Bootstrap estimation of covariance matrices via the percentile method
- Linear Regression Functions with Neglected Variables
