A framework connects separable-covariance functional data to matrix-variate MMCD estimation and linear-complexity Shapley decompositions to deliver robust and explainable outlier detection.
2015:2019), which results in observations that are naturally arranged in12×31 matrices for each country
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Explainable Outlier Detection for Multivariate Functional Data
A framework connects separable-covariance functional data to matrix-variate MMCD estimation and linear-complexity Shapley decompositions to deliver robust and explainable outlier detection.