Applications of Peter Hall's martingale limit theory to estimating and testing high dimensional covariance matrices
DOI10.5705/ss.202017.0060zbMath1406.62057OpenAlexW2765386395MaRDI QIDQ4558606
Danning Li, Hui Zou, Lingzhou Xue
Publication date: 22 November 2018
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/74c9343925270286396f2f31d6f6d990f82c7f9c
hypothesis testinglarge covariance matrixdegenerate U-statisticsStein's unbiased risk estimationmartingale limit theory
Estimation in multivariate analysis (62H12) Martingales with discrete parameter (60G42) Nonparametric estimation (62G05) Hypothesis testing in multivariate analysis (62H15) Strong limit theorems (60F15)
Related Items (3)
This page was built for publication: Applications of Peter Hall's martingale limit theory to estimating and testing high dimensional covariance matrices