research
∙
04/24/2022
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices
Estimation of the high-dimensional banded covariance matrix is widely us...
share
research
∙
03/22/2022
On block-wise and reference panel-based estimators for genetic data prediction in high dimensions
Genetic prediction of complex traits and diseases has attracted enormous...
research
∙
12/21/2020
Two-directional simultaneous inference for high-dimensional models
This paper proposes a general two directional simultaneous inference (TO...
research
∙
09/23/2020
Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices
We consider general high-dimensional spiked sample covariance models and...
research
∙
09/24/2019
Estimating Number of Factors by Adjusted Eigenvalues Thresholding
Determining the number of common factors is an important and practical t...
research
∙
06/16/2019
Community Detection Based on the L_∞ convergence of eigenvectors in DCBM
Spectral clustering is one of the most popular algorithms for community ...
research
∙
01/23/2019