20 citations · 68 across the 28 of their papers we have counts for
4 papers · 2 filters
Double shrinkage priors for a normal mean matrix
Takeru Matsuda, Fumiyasu Komaki, William E. Strawderman
We consider estimation of a normal mean matrix under the Frobenius loss. Motivated by the Efron--Morris estimator, a generalization of Stein's prior has been recently developed, wh…
Minimaxity under half-Cauchy type priors
Yuzo Maruyama, Takeru Matsuda
This is a follow-up paper of Polson and Scott (2012, Bayesian Analysis), which claimed that the half-Cauchy prior is a sensible default prior for a scale parameter in hierarchical…
Information Geometry of Wasserstein Statistics on Shapes and Affine Deformations
Shun-ichi Amari, Takeru Matsuda
Information geometry and Wasserstein geometry are two main structures introduced in a manifold of probability distributions, and they capture its different characteristics. We stud…
Matrix quadratic risk of orthogonally invariant estimators for a normal mean matrix
Takeru Matsuda
In estimation of a normal mean matrix under the matrix quadratic loss, we develop a general formula for the matrix quadratic risk of orthogonally invariant estimators. The derivati…