On various confidence intervals post-model-selection
From MaRDI portal
Publication:254446
DOI10.1214/14-STS507zbMath1332.62154arXiv1401.2267OpenAlexW1933929712MaRDI QIDQ254446
Karl Ewald, Benedikt M. Pötscher, Hannes Leeb
Publication date: 8 March 2016
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1401.2267
Related Items (14)
Confidence intervals for high-dimensional partially linear single-index models ⋮ Post-model-selection inference in linear regression models: an integrated review ⋮ Mixture of Linear Models Co-supervised by Deep Neural Networks ⋮ Uniformly valid confidence intervals post-model-selection ⋮ Targeted Inference Involving High-Dimensional Data Using Nuisance Penalized Regression ⋮ Bootstrapping some GLM and survival regression variable selection estimators ⋮ Statistical proof? The problem of irreproducibility ⋮ Fast multiscale functional estimation in optimal EMG placement for robotic prosthesis controllers ⋮ Simultaneous confidence bands for contrasts between several nonlinear regression curves ⋮ Optimal EMG placement for a robotic prosthesis controller with sequential, adaptive functional estimation (SAFE) ⋮ Bootstrapping multiple linear regression after variable selection ⋮ Confidence intervals centred on bootstrap smoothed estimators ⋮ Survival analysis of DNA mutation motifs with penalized proportional hazards ⋮ In defense of the indefensible: a very naïve approach to high-dimensional inference
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Valid post-selection inference
- Asymptotic properties of maximum likelihood estimators based on conditional specification
- On the distribution of penalized maximum likelihood estimators: the LASSO, SCAD, and thresholding
- Can one estimate the conditional distribution of post-model-selection estimators?
- Confidence sets based on sparse estimators are necessarily large
- Evaluation and selection of models for out-of-sample prediction when the sample size is small relative to the complexity of the data-generating process
- On the distribution of the adaptive LASSO estimator
- On preliminary test and shrinkage M-estimation in linear models
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Least angle regression. (With discussion)
- Confidence sets based on penalized maximum likelihood estimators in Gaussian regression
- Distributional results for thresholding estimators in high-dimensional Gaussian regression models
- The Conditional Level of the F-Test
- PERFORMANCE LIMITS FOR ESTIMATORS OF THE RISK OR DISTRIBUTION OF SHRINKAGE-TYPE ESTIMATORS, AND SOME GENERAL LOWER RISK-BOUND RESULTS
- CAN ONE ESTIMATE THE UNCONDITIONAL DISTRIBUTION OF POST-MODEL-SELECTION ESTIMATORS?
- Hybrid and Size-Corrected Subsampling Methods
- Applied Regression Analysis
- THE FINITE-SAMPLE DISTRIBUTION OF POST-MODEL-SELECTION ESTIMATORS AND UNIFORM VERSUS NONUNIFORM APPROXIMATIONS
- The Conditional Level of Student's $t$ Test
- MODEL SELECTION AND INFERENCE: FACTS AND FICTION
- Note on a Conditional Property of Student's $t^1$
- On the Large-Sample Minimal Coverage Probability of Confidence Intervals After Model Selection
This page was built for publication: On various confidence intervals post-model-selection