Learning block structures in U-statistic-based matrices

Type: Article

Publication Date: 2020-11-14

Citations: 5

DOI: https://doi.org/10.1093/biomet/asaa099

Locations

Similar Works

Action Title Year Authors
+ Spectral Statistics of Sample Block Correlation Matrices 2022 Zhigang Bao
Hu Jiang
Xiaocong Xu
Xiaozhuo Zhang
+ PDF Chat Random matrix theory in statistics: A review 2013 Debashis Paul
Alexander Aue
+ Block-diagonal test for high-dimensional covariance matrices 2022 Jiayu Lai
Xiaoyi Wang
Kaige Zhao
Shurong Zheng
+ High-Dimensional Block Diagonal Covariance Structure Detection Using Singular Vectors 2022 Jan O. Bauer
+ Covariance matrix estimation and variable selection in high dimension 2013 Mu Cai
+ PDF Chat Central limit theorem for linear spectral statistics of block-Wigner-type matrices 2023 Zhenggang Wang
Jianfeng Yao
+ Central limit theorem for linear spectral statistics of block-Wigner-type matrices 2021 Zhenggang Wang
Jianfeng Yao
+ PDF Chat Large Sample Techniques for Statistics 2022 Jiming Jiang
+ PDF Chat Application of Random Matrix Theory in High-Dimensional Statistics 2024 Swapnaneel Bhattacharyya
Srijan Chattopadhyay
Sevantee Basu
+ Testing block-diagonal covariance structure for high-dimensional data under non-normality 2017 Yuki Yamada
Masashi Hyodo
Takahiro Nishiyama
+ Testing Structure of Covariance Matrix under High-dimensional Regime 2020 Jiawei Wu
+ A New Representation of Uniform-Block Matrix and Applications 2023 Yifan Yang
Hwi-Young Lee
Shuo Chen
+ Large sample covariance matrices and their application to high-dimensional statistics 2018 JJ Yao
+ Matrix Hypothesis Testing using Large Random Matrices 2017 Robert C. Qiu
Paul Antonik
+ Random matrix theory and its application in high-dimensional statistics 2013 Danning Li
+ Sample Covariance Matrices 2020 Marc Potters
Jean‐Philippe Bouchaud
+ Block structure-based covariance tensor decomposition for group identification in matrix variables 2024 Yu Chen
Zongqing Hu
Jie Hu
Lei Shu
+ Introduction to Random Matrix Theory 2016 Igor Smolyarenko
+ PDF Chat Hypothesis testing on linear structures of high-dimensional covariance matrix 2019 Shurong Zheng
Chen Zhao
Hengjian Cui
Runze Li
+ Statistical inference in high-dimensional matrix models 2020 Matthias LĂśffler