All of the predictive methods implemented in PROC PLS work essentially by finding linear combinations of the predictors (factors) to use to predict the responses linearly. The methods differ only in ...
Exploring the fascinating realm of linear regression and matrix factorization applied to S&P 500 data, with the goal of deciphering stock market trends and uncovering potential investment ...
Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models ...
Abstract: In this paper, we propose a new multi-sharpening approach for improving the spatial resolution of hyperspectral data. This approach, based on the linear-quadratic spectral unmixing concept, ...
Abstract: We present a novel approach for spectral unmixing in hyperspectral imagery called local linear spectral unmixing (LLSU). Our new proposal relies on an existing strategy for non-linear data ...
A method for solving systems of equations by transforming the augmented matrix into the reduced row echelon form. Méthode permettant d’obtenir la matrrice identité et les solutions d’un système. A ...
Two multiplicative anomalies are evaluated for the determinant of the conformal higher spin propagating operator on spheres given by Tseytlin. One holds for the decomposition of the higher derivative ...
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