A note on testing for homoscedasticity in high-dimensional time series

We consider the problem of testing for homoscedasticity in high-dimensional time series, under the assumption that the sample size n and the dimension p satisfy [Formula: see text] as [Formula: see text]. The homoscedasticity refers to the case where the covariance matrix of the time series is equal...

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Bibliographic Details
Main Authors: Yosei Yoshida, Yan Liu
Format: Article
Language:English
Published: Taylor & Francis 2024-12-01
Series:Research in Statistics
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/27684520.2024.2394557