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20182021
most citedA Stein Goodness-of-fit Test for Directional Distributions

2 citations · 4 across the 3 of their papers we have counts for

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math.ST2020

Wasserstein Statistics in One-dimensional Location-Scale Model

Shun-ichi Amari, Takeru Matsuda

Wasserstein geometry and information geometry are two important structures to be introduced in a manifold of probability distributions. Wasserstein geometry is defined by using the…

math.ST2020

Estimation under matrix quadratic loss and matrix superharmonicity

Takeru Matsuda, William E. Strawderman

We investigate estimation of a normal mean matrix under the matrix quadratic loss. Improved estimation under the matrix quadratic loss implies improved estimation of any linear com…