Cover Image

Spatial Sign based Principal Component Analysis for High Dimensional Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Ping, Wang, Hongfei, Feng, Long
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Spatial-Sign-Based Testing of High-Dimensional Alpha in Conditional Factor Models
by: Zhao, Ping, et al.
Published: (2026)

Spatial-Sign based Maxsum Test for High Dimensional Location Parameters
by: Liu, Jixuan, et al.
Published: (2024)

Note on High Dimensional Spatial-Sign Test for One Sample Problem
by: Zhao, Ping, et al.
Published: (2026)

Spatial Sign based Direct Sparse Linear Discriminant Analysis for High Dimensional Data
by: Zhuang, Dan, 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)

A Spatial-Sign based Direct Approach for High Dimensional Sparse Quadratic Discriminant Analysis
by: Shen, Anqing, et al.
Published: (2025)

High-Dimensional Two-Sample Test for Elliptical Symmetry Distribution
by: Feng, Long, et al.
Published: (2026)

Adaptive Sphericity Tests for High Dimensional Data
by: Zhao, Ping, et al.
Published: (2024)

Spatial-Sign based High dimensional Change Point Inference
by: Liu, Jixuan, et al.
Published: (2025)

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

High-Dimensional Data Analysis for Elliptically Symmetric Distributions
by: Feng, Long
Published: (2026)

Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
by: Pathmanathan, Dharini, et al.
Published: (2024)

Robust Mutual Fund Selection with False Discovery Rate Control
by: Wang, Hongfei, et al.
Published: (2024)

Double Robust high dimensional alpha test for linear factor pricing model
by: Zhao, Ping, et al.
Published: (2024)

Adaptive Strategy of Testing Alphas in High Dimensional Linear Factor Pricing Models
by: Zhao, Chenxi, et al.
Published: (2024)

Inverse Norm Weighted Maxsum Test for High Dimensional Location Parameters
by: Yan, Guowei, et al.
Published: (2025)

Rank-Based Sparse Regression in Principal Components Space under Measurement Error
by: Feng, Long, et al.
Published: (2026)

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

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

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)

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)

Semiparametric Elliptical Mixture Clustering for High-Dimensional Data
by: Feng, Long, et al.
Published: (2026)

Distributed Tensor Principal Component Analysis with Data Heterogeneity
by: Chen, Elynn, et al.
Published: (2024)

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

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

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

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)

High dimensional matrix estimation through elliptical factor models
by: Xu, Xinyue, et al.
Published: (2025)

Adaptive Rank-based Tests for High Dimensional Mean Problems
by: Zhang, Yu, et al.
Published: (2023)

Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)

Dynamic Prediction of High-density Generalized Functional Data with Fast Generalized Functional Principal Component Analysis
by: Jin, Ying, et al.
Published: (2024)

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

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

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

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

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

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