Cover Image

Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Hua, Men, Jiaqi, Wang, Shouxia, You, Jinhong, Cao, Jiguo
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Two Sample Testing for High-dimensional Functional Data: A Multi-resolution Projection Method
by: Wang, Shouxia, et al.
Published: (2025)

Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025)

SID: A Novel Class of Nonparametric Tests of Independence for Censored Outcomes
by: Li, Jinhong, et al.
Published: (2024)

Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)

Quantile Residual Lifetime Regression for Multivariate Failure Time Data
by: Yu, Tonghui, et al.
Published: (2025)

Robust Bayesian Functional Principal Component Analysis
by: Zhang, Jiarui, et al.
Published: (2023)

Transfer Learning in Regression with Influential Points
by: Wang, Bingbing, et al.
Published: (2025)

Transfer Learning with Large-Scale Quantile Regression
by: Jin, Jun, et al.
Published: (2022)

Global Censored Quantile Random Forest
by: Zhou, Siyu, et al.
Published: (2024)

Estimation of Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)

Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications
by: Iacopini, Matteo, et al.
Published: (2022)

Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026)

Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)

Online Functional Principal Component Analysis on a Multidimensional Domain
by: Nanshan, Muye, et al.
Published: (2025)

High Dimensional Ensemble Kalman Filter
by: Wang, Shouxia, et al.
Published: (2025)

Distribution Regression with Censored Selection
by: Fernandez-Val, Ivan, et al.
Published: (2025)

High-Dimensional Extreme Quantile Regression
by: Tang, Yiwei, et al.
Published: (2024)

Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)

Causal Spatial Quantile Regression
by: Gong, Yan, et al.
Published: (2025)

Assumption-Lean Quantile Regression
by: Baklicharov, Georgi, et al.
Published: (2024)

Generalized Bayesian Multidimensional Scaling and Model Comparison
by: Zhang, Jiarui, et al.
Published: (2023)

Adaptive Test for High Dimensional Quantile Regression
by: Zhao, Ping, et al.
Published: (2025)

Unified Operator Framework for Functional and Multivariate Regression
by: Carpenter, Mark, et al.
Published: (2026)

Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression
by: Qin, Caihong, et al.
Published: (2026)

Multi-Fidelity Quantile Regression
by: Liu, Yixiang, et al.
Published: (2026)

An Ising Similarity Regression Model for Modeling Multivariate Binary Data
by: Tho, Zhi Yang, et al.
Published: (2024)

Nonlinear Multivariate Function-on-function Regression with Variable Selection
by: Haijie, Xu, et al.
Published: (2024)

An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)

Multiscale Quantile Regression with Local Error Control
by: Liu, Zhi, et al.
Published: (2024)

Vector Quantile Regression on Manifolds
by: Pegoraro, Marco, et al.
Published: (2023)

Mixture Quantiles Estimated by Constrained Linear Regression
by: Peng, Cheng, et al.
Published: (2023)

Panel Quantile Regression with Common Shocks
by: Chiang, Harold D., et al.
Published: (2026)

Learning to Simulate: Generative Metamodeling via Quantile Regression
by: Hong, L. Jeff, et al.
Published: (2023)

A Gaussian Sliding Windows Regression Model for Hydrological Inference
by: Schrunner, Stefan, et al.
Published: (2023)

Spatial Scalar-on-Function Quantile Regression Model
by: Mutis, Muge, et al.
Published: (2025)

Online Quantile Regression
by: Shen, Yinan, et al.
Published: (2024)

Transfer Learning Meets Functional Linear Regression: No Negative Transfer under Posterior Drift
by: Hu, Xiaoyu, et al.
Published: (2024)

Quantiles and Quantile Regression on Riemannian Manifolds: a measure-transportation-based approach
by: Hallin, Marc, et al.
Published: (2024)

Sparse-Smooth Spatially Varying Coefficient Quantile Regression
by: Jian, Hou, et al.
Published: (2025)

Spline Quantile Regression with Cubic and Linear Smoothing Splines
by: Li, Ta-Hsin
Published: (2026)