116 citations · 269 across the 29 of their papers we have counts for
30 papers
Improving the James-Stein estimator via finite-sum truncation of its positive-part
Yuzo Maruyama, Akimichi Takemura
For estimating the mean vector of a -variate normal distribution () under quadratic loss, the positive-part James--Stein estimator dominates the original James--Stein e…
Minimax Simple Bayes Estimators of a Normal Variance
Yuzo Maruyama
This paper is a follow-up to Maruyama and Strawderman (2006, Journal of Statistical Planning and Inference), which identified a new class of generalized Bayes estimators with a par…
A new perspective on dominating the James-Stein estimator
Yuzo Maruyama, Akimichi Takemura
This paper presents a novel approach to constructing estimators that dominate the classical James-Stein estimator under the quadratic loss for multivariate normal means. Building o…
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…
A sharper bound of the Hotelling-Solomons inequality
Yuzo Maruyama
The original Hotelling-Solomons inequality indicates that an upper bound of |mean - median|/(standard deviation) is 1. In this note, we find a new bound depending on the sample siz…
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…