Nonnegative Matrix Factorization (NMF): A technique for decomposing a data matrix into two nonnegative matrices, enabling the extraction of parts‐based, interpretable features.

P. Bhimasankaram, Dibyen Majumdar, Hermitian and Nonnegative Definite Solutions of Some Matrix Equations Connected with Distribution of Quadratic Forms, Sankhyā: The Indian Journal of Statistics, ...

ABSTRACT We propose two new methods for attributing the risk of a portfolio or system to its components, in particular when it is required to produce nonnegative risk components that sum to the risk ...

Peter Li, Mohan Ramachandran, Kähler Manifolds with Almost Nonnegative Ricci Curvature, American Journal of Mathematics, Vol. 118, No. 2 (Apr., 1996), pp. 341-353 ...

We apply distortion functions to bivariate survival functions for nonnegative random variables. This leads to a natural extension of univariate distortion risk measures to the multivariate setting.