:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Ping, Zhuang, Dan, Feng, Long
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2605.00598
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spatial Sign based Direct Sparse Linear Discriminant Analysis for High Dimensional Data
by: Zhuang, Dan, et al.
Published: (2025)

Generalized Bayesian nonparametric clustering framework for high-dimensional spatial omics data
by: Zhu, Bencong, et al.
Published: (2024)

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

Regularized k-POD: Sparse k-means clustering for high-dimensional missing data
by: Guan, Xin, et al.
Published: (2025)

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

High dimensional alpha test for linear factor pricing model with $L_q$-norm
by: Zhao, Ping, et al.
Published: (2026)

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

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

Bayesian clustering of high-dimensional data via latent repulsive mixtures
by: Ghilotti, Lorenzo, et al.
Published: (2023)

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

A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data
by: Wrobel, Julia, et al.
Published: (2024)

Adaptive L-statistics for high dimensional test problem
by: Ma, Huifang, et al.
Published: (2024)

Bayesian spatial functional data clustering: applications in disease surveillance
by: Zhong, Ruiman, et al.
Published: (2024)

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

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

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

Geometric medians on product manifolds
by: Park, Jiewon, et al.
Published: (2025)

Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
by: Shi, Muyang, et al.
Published: (2024)

Robust Sparse Precision Matrix Estimation and its Application
by: Lu, Zhengke, et al.
Published: (2025)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
by: Mukherjee, Arghya, et al.
Published: (2025)

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

Multivariate Gaussian process emulation for multifidelity computer models with high-dimensional spatial outputs
by: McCrimmon, Cyrus S., et al.
Published: (2026)

Analysis of spatially clustered survival data with unobserved covariates using SBART
by: Ghosh, Durbadal, et al.
Published: (2024)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)

Modeling high dimensional point clouds with the spherical cluster model
by: Cazals, Frédéric, et al.
Published: (2025)

metamedian: An R package for meta-analyzing studies reporting medians
by: McGrath, Sean, et al.
Published: (2023)

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

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

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

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

Efficient subsampling for high-dimensional data
by: Chasiotis, Vasilis, et al.
Published: (2024)

Procrustes analysis for high-dimensional data
by: Andreella, Angela, et al.
Published: (2020)

High Dimensional Sparse Canonical Correlation Analysis for Elliptical Symmetric Distributions
by: Qian, Chengde, et al.
Published: (2025)

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

A Goodness-of-Fit Test for Sparse Networks
by: Wu, Yujia, et al.
Published: (2025)

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

Meta-analysis of median survival times with inverse-variance weighting
by: McGrath, Sean, et al.
Published: (2025)

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

On the Wasserstein median of probability measures
by: You, Kisung, et al.
Published: (2022)

Selective inference for multiple pairs of clusters after K-means clustering
by: Yun, Youngjoo, et al.
Published: (2024)