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math.ST2026
Shape-constrained density estimation with Wasserstein projection
Takeru Matsuda, Ting-Kam Leonard Wong
Statistical inference based on optimal transport offers a different perspective from that of maximum likelihood, and has increasingly gained attention in recent years. In this pape…
math.ST2026
Asymptotic testing of covariance separability for matrix elliptical data
Joni Virta, Takeru Matsuda
We propose a new asymptotic test for the separability of a covariance matrix. The null distribution is valid in wide matrix elliptical model that includes, in particular, both matr…