Theory of matrix variate distributions extends classical univariate and multivariate approaches to random matrices, accommodating dependence structures across both rows and columns. Fundamental ...
There are two ways in which 'difficult' samples are usually categorized: either by the problems posed by the physical nature of the post-vivo sample matrix containing the chemical entity to be ...
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