Fr'echet Covariance and MANOVA Tests for Random Objects in Multiple Metric Spaces
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Abstract (arXiv)
In this manuscript we consider random objects being measured in multiple metric spaces, which may arise when those objects may be measured in multiple distinct ways. In this new multivariate setting, we define a Fr'echet covariance and Fr'echet correlation in two metric spaces, and a Fr'echet covariance matrix and Fr'echet correlation matrix in an arbitrary number of metric spaces. We prove consistency for the sample Fr'echet covariance, and propose several tests to compare the means and covariance matrices between two or more groups. Lastly, we investigate the power and Type I error of each test under a variety of scenarios.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Jun 2023.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
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