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A Riemannian Generalization of Wilks' Lambda for Testing Differences Among Brain Connectomes
Frćhet analysis of variance is a well-established tool for comparing samples of non-Euclidean data such as brain connectomes, symmetric positive definite (SPD) matrices that encode coactivation of different brain regions. But by relying solely on various squared distances, it can fail to detect real
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