Cover Image

Rank-Based Sparse Regression in Principal Components Space under Measurement Error

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Long, Wang, Xiaoyi, Zhou, Le
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Rank-Rank Regression via Deep Conditional Transformation Models
by: Wang, Xiaoyi, et al.
Published: (2026)

Spatial Sign based Principal Component Analysis for High Dimensional Data
by: Zhao, Ping, et al.
Published: (2024)

Beyond Regularization: Inherently Sparse Principal Component Analysis
by: Bauer, Jan O.
Published: (2025)

Bayesian Multivariate Sparse Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2025)

Functional Principal Component Analysis for Sparse Censored Data
by: Murphy, Caitrin, et al.
Published: (2024)

Linear Regression Using Principal Components from General Hilbert-Space-Valued Covariates
by: Li, Xinyi, et al.
Published: (2025)

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

Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
by: Li, Zexiang, et al.
Published: (2026)

Adaptive Principal Component Regression with Applications to Panel Data
by: Agarwal, Anish, et al.
Published: (2023)

Wasserstein Regression with Empirical Measures and Density Estimation for Sparse Data
by: Zhou, Yidong, et al.
Published: (2023)

Sparse Rank Regression for Restricted-Access Economic Data
by: Zhang, Wen, et al.
Published: (2026)

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

Sparse and Integrative Principal Component Analysis for Multiview Data
by: Xiao, Lin, et al.
Published: (2023)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)

Fast Bayesian Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2024)

Conformalized Robust Principal Component Analysis
by: Yuan, Liangliang, et al.
Published: (2026)

Functional Principal Component Analysis for Distribution-Valued Processes
by: Zhou, Hang, et al.
Published: (2023)

Generalized Rank Regression
by: Tu, Jiyuan, et al.
Published: (2026)

Generalized Conditional Functional Principal Component Analysis
by: Lu, Yu, et al.
Published: (2024)

Extrinsic Principal Component Analysis
by: Wong, Ka Chun, et al.
Published: (2024)

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

Localized Functional Principal Component Analysis Based on Covariance Structure
by: Battagliola, Maria Laura, et al.
Published: (2025)

Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation
by: Shen, Shirun, et al.
Published: (2023)

On the Wasserstein Geodesic Principal Component Analysis of probability measures
by: Vesseron, Nina, et al.
Published: (2025)

Adaptive Change Point Inference for High Dimensional Time Series with Temporal Dependence
by: Wang, Xiaoyi, et al.
Published: (2025)

High dimensional Mean Test for Temporal Dependent Data
by: Hu, Yuchen, et al.
Published: (2025)

Few-Round Distributed Principal Component Analysis: Closing the Statistical Efficiency Gap by Consensus
by: Li, ZeYu, et al.
Published: (2025)

Principal Component Analysis for Equation Discovery
by: Marzban, Caren, et al.
Published: (2024)

MML Probabilistic Principal Component Analysis
by: Makalic, Enes, et al.
Published: (2022)

Principal Component Based Estimation of Finite Population Mean under Multicollinearity
by: Singh, Rajesh, et al.
Published: (2026)

Minimax Optimal Robust Sparse Regression with Heavy-Tailed Designs: A Gradient-Based Approach
by: Zhou, Kaiyuan, et al.
Published: (2026)

Principal Component Analysis in the Graph Frequency Domain
by: Kim, Kyusoon, et al.
Published: (2024)

Dynamic Supervised Principal Component Analysis for Classification
by: Ouyang, Wenbo, et al.
Published: (2024)

AdapDISCOM: An Adaptive Sparse Regression Method for High-Dimensional Multimodal Data With Block-Wise Missingness and Measurement Errors
by: Baldé, Maimouna, et al.
Published: (2025)

Rank-Based Tests for Mutual Independence of High-Dimensional Random Vectors via $L_q$ Norm
by: Zhao, Ping, et al.
Published: (2026)

Testing Independence Between High-Dimensional Random Vectors Using Rank-Based Max-Sum Tests
by: Wang, Hongfei, et al.
Published: (2024)

Variable Domain Multivariate Functional Principal Component Analysis
by: Amaro, Pavel Hernández, et al.
Published: (2026)

Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain
by: Namdari, Jamshid, et al.
Published: (2024)

Robust Principal Components by Casewise and Cellwise Weighting
by: Centofanti, Fabio, et al.
Published: (2024)

Estimating the construct validity of Principal Components Analysis
by: Hope, Thomas M. H., et al.
Published: (2024)