Cover Image

Testing relevant difference in high-dimensional linear regression with applications to detect transferability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Liu, Xu
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

Estimation and inference of high-dimensional partially linear regression models with latent factors
by: Shi, Yanmei, et al.
Published: (2025)

Scalable Bayesian inference on high-dimensional multivariate linear regression
by: Cao, Xuan, et al.
Published: (2025)

Bayesian iterative screening in ultra-high dimensional linear regressions
by: Wang, Run, et al.
Published: (2021)

High-dimensional covariance regression with application to co-expression QTL detection
by: Kim, Rakheon, et al.
Published: (2024)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)

An efficient tensor regression for high-dimensional data
by: Si, Yuefeng, et al.
Published: (2022)

Statistical inference for high-dimensional convoluted rank regression
by: Cai, Leheng, et al.
Published: (2024)

Rényi's $α$-divergence variational Bayes for spike-and-slab high-dimensional linear regression
by: Bsila, Chadi, et al.
Published: (2025)

Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)

Adaptive adequacy testing of high-dimensional factor-augmented regression model
by: Shi, Yanmei, et al.
Published: (2025)

Shape-restricted transfer learning analysis for generalized linear regression model
by: Li, Pengfei, et al.
Published: (2024)

Decorrelated forward regression for high dimensional data analysis
by: Jiang, Xuejun, et al.
Published: (2024)

Inference of high-dimensional weak instrumental variable regression models without ridge-regularization
by: Ding, Jiarong, et al.
Published: (2025)

Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions
by: Chen, Kai, et al.
Published: (2023)

Contrastive linear regression
by: Zhang, Boyang, et al.
Published: (2024)

Robust and consistent model evaluation criteria in high-dimensional regression
by: Kurata, Sumito, et al.
Published: (2024)

Rank-based Maxsum test for high dimensional regression coefficient
by: Zhao, Ping, et al.
Published: (2026)

Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
by: Noskov, Fedor, et al.
Published: (2025)

Robust transfer regression with corrupted labels
by: Pan, Sheng
Published: (2025)

High-dimensional sparse vine copula regression with application to genomic prediction
by: Sahin, Özge, et al.
Published: (2022)

Semiparametric model averaging for high-dimensional quantile regression with nonignorable nonresponse
by: Xiong, Wei, et al.
Published: (2025)

A covariate-dependent Cholesky decomposition for high-dimensional covariance regression
by: Kim, Rakheon, et al.
Published: (2026)

Covariance scanning for adaptively optimal change point detection in high-dimensional linear models
by: Cho, Haeran, et al.
Published: (2025)

Efficient posterior sampling for high-dimensional imbalanced logistic regression
by: Sen, Deborshee, et al.
Published: (2019)

Pseudo-R2D2 prior for high-dimensional ordinal regression
by: Yanchenko, Eric
Published: (2025)

A direct approach to tree-guided feature aggregation for high-dimensional regression
by: Fu, Jinwen, et al.
Published: (2025)

A lack-of-fit test for quantile regression models with high-dimensional covariates
by: Conde-Amboage, Mercedes, et al.
Published: (2015)

Inference for high-dimensional linear expectile regression with de-biased method
by: Li, Xiang, et al.
Published: (2024)

Piece-wise linear isotonic regression
by: Kuosmanen, Timo, et al.
Published: (2026)

Penalized mixed models to adjust for batch effects and unobserved confounding in high dimensional regression
by: Lu, Yujing, et al.
Published: (2025)

Adapting to noise tails in private linear regression
by: Chang, Jinyuan, et al.
Published: (2026)

Interval-censored linear quantile regression
by: Choi, Taehwa, et al.
Published: (2024)

Weighted least squares estimation by multivariate-dependent weights for linear regression models
by: Huang, Lei, et al.
Published: (2026)

Transfer learning for high-dimensional Factor-augmented sparse linear model
by: Fu, Bo, et al.
Published: (2025)

Shrinkage linear regression for symbolic interval-valued variables
by: Rodriguez, Oldemar
Published: (2024)

Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
by: Zhao, Huali, et al.
Published: (2024)

Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
by: Lu, Xin, et al.
Published: (2023)

Bootstrap inference for linear regression between variables that are never jointly observed: application in in vivo experiments
by: Arsenteva, Polina, et al.
Published: (2024)

Variational empirical Bayes variable selection in high-dimensional logistic regression
by: Tang, Yiqi, et al.
Published: (2025)

Spectral analysis of high-dimensional spot volatility matrix with applications
by: Liu, Qiang, et al.
Published: (2025)