This paper explores the consequences of Wyszecki's hypothesis concerning metameric stimuli, that any radiometric function (column matrix N) comprises two components -- a fundamental metamer (column ...

Random Matrix Theory (RMT) has emerged as an indispensable framework for understanding the statistical properties of matrices whose entries are determined by probabilistic processes. Initially ...

Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of linear algebraic and linear ordinary differential equations. Discusses vector space ...

Nonnegative Matrix Factorization (NMF) has emerged as a powerful tool in data analysis, particularly noted for its ability to produce parts‐based, interpretable representations from high-dimensional ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, No. 3 (JUNE 2017), pp. 677-693 (17 pages) Statistical inferences for sample correlation matrices are important in ...