Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix.

Xavier Mestre Pascal Vallet

Published in: IEEE Trans. Inf. Theory (2017)

Keyphrases

correlation matrix
covariance matrix
singular value decomposition
random matrix theory
matrix inversion
signal subspace
sample size
principal components
confidence intervals
learning algorithm
machine learning
optical flow
computational cost
principal component analysis
null hypothesis