Testing high-dimensional covariance matrices under the elliptical distribution and beyond
Year of publication: |
2021
|
---|---|
Authors: | Yang, Xinxin ; Zheng, Xinghua ; Chen, Jiaqi |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 221.2021, 2, p. 409-423
|
Subject: | Central limit theorem | Covariance matrix | Elliptical model | High-dimension | Linear spectral statistics | Korrelation | Correlation | Statistische Verteilung | Statistical distribution | Zeitreihenanalyse | Time series analysis | Schätztheorie | Estimation theory | Statistische Methodenlehre | Statistical theory | Varianzanalyse | Analysis of variance | Lineare Algebra | Linear algebra |
-
High dimensional correlation matrices : CLT and its applications
Gao, Jiti, (2014)
-
On spectral distribution of high dimensional covariation matrices
Heinrich, Claudio, (2014)
-
Probability Distributions and GAS Models for Realized Covariance Matrices
Stollenwerk, Michael, (2022)
- More ...
-
Testing High-Dimensional Covariance Matrices Under the Elliptical Distribution and Beyond
Yang, Xinxin, (2020)
-
Social Politics : Agenda Setting and Political Communication on Social Media
Yang, Xinxin, (2017)
-
Social capital and cost of debt : evidence from Chinese CEO network centrality
Chen, Yiping, (2024)
- More ...