This is a preview. Log in through your library . Abstract Principal component analysis (PCA) is a well-known tool in multivariate statistics. One significant challenge in using PCA is the choice of ...

In applying statistical methods such as principal component analysis, canonical correlation analysis, and sufficient dimension reduction, we need to determine how many eigenvectors of a random matrix ...