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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…
math.ST2024
Minimaxity under the half-Cauchy prior
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…
math.ST2023★ 1 cited
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…