Theory of matrix variate distributions extends classical univariate and multivariate approaches to random matrices, accommodating dependence structures across both rows and columns. Fundamental ...

A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2024.230180, discusses orthogonal matrix of polarization combinations: concept and application to multichannel holographic recording.

Based on high-throughput metabolomics data, the recently introduced inverse differential Jacobian algorithm can infer regulatory factors and molecular causality within metabolic networks close to ...