This article studies the robustness of the eigenvalue ordering, an impor...
Principal component analysis (PCA) is one of the most popular dimension
...
Principal component analysis (PCA) is the most commonly used statistical...
In this paper, we propose a dimensionality reduction method applied to
t...
The singular value decomposition (SVD) and the principal component analy...
Principal component analysis (PCA) is arguably the most widely used dime...
In linear regression, one can select a predictor if the absolute sample
...
We consider an enlarged dimension reduction space in functional inverse
...