Scalable estimation and inference for censored quantile regression process
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Publication:2105200
DOI10.1214/22-AOS2214MaRDI QIDQ2105200
Xiaoou Pan, Kean Ming Tan, Xuming He, Wen-Xin Zhou
Publication date: 8 December 2022
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2210.12629
smoothingweighted bootstrapcensored quantile regressionhigh-dimensional survival datanonasymptotic theory
Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Bootstrap, jackknife and other resampling methods (62F40)
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- Quantile calculus and censored regression
- Nearly unbiased variable selection under minimax concave penalty
- The Adaptive Lasso and Its Oracle Properties
- Regularization for Cox's proportional hazards model with NP-dimensionality
- Censored quantile regression processes under dependence and penalization
- Self-consistent estimation of censored quantile regression
- One-step sparse estimates in nonconcave penalized likelihood models
- Sparse estimation and inference for censored median regression
- Least absolute deviations estimation for the censored regression model
- Censored regression quantiles
- Monotone estimating equations for censored data
- The weighted bootstrap
- The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators. With comments by Ronald A. Thisted and M. R. Osborne and a rejoinder by the authors
- High dimensional censored quantile regression
- Generalized bootstrap for estimating equations
- A quantile regression estimator for censored data
- Scalable estimation and inference for censored quantile regression process
- Smoothed GMM for quantile models
- \(\ell_1\)-penalized quantile regression in high-dimensional sparse models
- A Frisch-Newton algorithm for sparse quantile regression
- Robust semiparametric M-estimation and the weighted bootstrap
- Smoothed quantile regression with large-scale inference
- A simple resampling method by perturbing the minimand
- SMOOTHED ESTIMATING EQUATIONS FOR INSTRUMENTAL VARIABLES QUANTILE REGRESSION
- Martingale-based residuals for survival models
- A New Approach to Censored Quantile Regression Estimation
- Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates
- Survival Analysis With Quantile Regression Models
- Regularized Estimation for the Accelerated Failure Time Model
- A resampling method based on pivotal estimating functions
- Reappraising Medfly Longevity
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Three-Step Censored Quantile Regression and Extramarital Affairs
- Censored Regression Quantiles
- The estimating function bootstrap
- Survival Analysis with Median Regression Models
- Variable selection for censored quantile regression
- Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
- Linear censored quantile regression: A novel minimum‐distance approach
- Asymptotics for censored regression quantiles
- An Adapted Loss Function for Censored Quantile Regression
- Locally Weighted Censored Quantile Regression
- Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors
- SMOOTHED EMPIRICAL LIKELIHOOD METHODS FOR QUANTILE REGRESSION MODELS
- On the Cox Model With Time-Varying Regression Coefficients
- High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
- Survival analysis. A self-learning text.
- Statistical models based on counting processes
- Inference for High-Dimensional Censored Quantile Regression
