Saved in:
| Main Authors: | Jin, Jun, Yan, Jun, Aseltine, Robert H., Chen, Kun |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2212.06693 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)
by: Bai, Ruiqi, et al.
Published: (2024)
Online Quantile Regression
by: Shen, Yinan, et al.
Published: (2024)
by: Shen, Yinan, et al.
Published: (2024)
Correcting the Coverage Bias of Quantile Regression
by: Gibbs, Isaac, et al.
Published: (2025)
by: Gibbs, Isaac, et al.
Published: (2025)
Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024)
by: Fong, Edwin, et al.
Published: (2024)
Multiscale Quantile Regression with Local Error Control
by: Liu, Zhi, et al.
Published: (2024)
by: Liu, Zhi, et al.
Published: (2024)
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)
by: Feldman, Joseph, et al.
Published: (2023)
Quantiles and Quantile Regression on Riemannian Manifolds: a measure-transportation-based approach
by: Hallin, Marc, et al.
Published: (2024)
by: Hallin, Marc, et al.
Published: (2024)
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)
by: Wang, Peng, et al.
Published: (2022)
Quantile processes and their applications in finite populations
by: Dey, Anurag, et al.
Published: (2024)
by: Dey, Anurag, et al.
Published: (2024)
Bayesian Dynamic Quantile Model Averaging
by: Bernardi, Mauro, et al.
Published: (2016)
by: Bernardi, Mauro, et al.
Published: (2016)
Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
by: Ng, Tin Lok James, et al.
Published: (2025)
by: Ng, Tin Lok James, et al.
Published: (2025)
Joint Quantile Shrinkage: A State-Space Approach toward Non-Crossing Bayesian Quantile Models
by: Kohns, David, et al.
Published: (2025)
by: Kohns, David, et al.
Published: (2025)
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
by: He, Zelin, et al.
Published: (2024)
by: He, Zelin, et al.
Published: (2024)
L-Estimation of Population Quantiles Using Ranked Set Sampling
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
Functional Data-Driven Quantile Model Averaging with Application to Cryptocurrencies
by: Xu, Wenchao, et al.
Published: (2023)
by: Xu, Wenchao, et al.
Published: (2023)
Linear Regression from 1-bit Quantized Data
by: Hill, Daniel, et al.
Published: (2026)
by: Hill, Daniel, et al.
Published: (2026)
Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026)
by: Wang, Yuyao, et al.
Published: (2026)
Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
by: Lautier, Jackson P., et al.
Published: (2021)
by: Lautier, Jackson P., et al.
Published: (2021)
Distribution-in-distribution-out Regression
by: Chen, Xiaoyu, et al.
Published: (2024)
by: Chen, Xiaoyu, et al.
Published: (2024)
Minimax Rate-Optimal Inference for Individualized Quantile Treatment Effects in High-dimensional Models
by: Sun, Jiachen, et al.
Published: (2025)
by: Sun, Jiachen, et al.
Published: (2025)
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
by: He, Zelin, et al.
Published: (2024)
by: He, Zelin, et al.
Published: (2024)
Multi-resolution subsampling for large-scale linear classification
by: Chen, Haolin, et al.
Published: (2024)
by: Chen, Haolin, et al.
Published: (2024)
Debiased Bayesian Inference for High-dimensional Regression Models
by: Chen, Qihui, et al.
Published: (2025)
by: Chen, Qihui, et al.
Published: (2025)
Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)
by: Givens, Josh, et al.
Published: (2026)
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)
by: Kim, Seok-Jin
Published: (2026)
Sufficiency-principled Transfer Learning via Model Averaging
by: Zhang, Xiyuan, et al.
Published: (2025)
by: Zhang, Xiyuan, et al.
Published: (2025)
Profiled Transfer Learning for High Dimensional Linear Model
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
Asymptotic Inference for Constrained Regression
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
Inference in the $p_0$ model for directed networks under local differential privacy
by: Sun, Xueying, et al.
Published: (2025)
by: Sun, Xueying, et al.
Published: (2025)
Quantile Predictions for Equity Premium using Penalized Quantile Regression with Consistent Variable Selection across Multiple Quantiles
by: Li, Shaobo, et al.
Published: (2025)
by: Li, Shaobo, et al.
Published: (2025)
Doubly-Unlinked Regression for Dependent Data
by: Burman, Anik, et al.
Published: (2026)
by: Burman, Anik, et al.
Published: (2026)
Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)
by: He, Yuheng, et al.
Published: (2024)
Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
by: Yang, Yachong, et al.
Published: (2023)
by: Yang, Yachong, et al.
Published: (2023)
Empirical likelihood for Fréchet means on open books
by: Bharath, Karthik, et al.
Published: (2024)
by: Bharath, Karthik, et al.
Published: (2024)
Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets
by: Li, Wangcheng, et al.
Published: (2026)
by: Li, Wangcheng, et al.
Published: (2026)
Prediction Suboptimality of the Lasso in Sparse Linear Regression
by: Liu, Guo
Published: (2026)
by: Liu, Guo
Published: (2026)
Direct Bayesian Regression for Distribution-valued Covariates
by: Tang, Bohao, et al.
Published: (2023)
by: Tang, Bohao, et al.
Published: (2023)
Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023)
by: Kalogridis, Ioannis, et al.
Published: (2023)
Cellwise and Casewise Robust Multivariate Regression with Inference
by: Centofanti, Fabio, et al.
Published: (2026)
by: Centofanti, Fabio, et al.
Published: (2026)
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
by: Chakrabortty, Abhishek, et al.
Published: (2022)
by: Chakrabortty, Abhishek, et al.
Published: (2022)
Similar Items
-
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024) -
Online Quantile Regression
by: Shen, Yinan, et al.
Published: (2024) -
Correcting the Coverage Bias of Quantile Regression
by: Gibbs, Isaac, et al.
Published: (2025) -
Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024) -
Multiscale Quantile Regression with Local Error Control
by: Liu, Zhi, et al.
Published: (2024)