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ORCIDHisayuki Tsukuma
Person information
- affiliation: Toho University, Tokyo, Japan
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Journal Articles
- 2017
[j11]Hisayuki Tsukuma, Tatsuya Kubokawa:
Proper Bayes and minimax predictive densities related to estimation of a normal mean matrix. J. Multivar. Anal. 159: 138-150 (2017)- 2016
- [j10]Hisayuki Tsukuma, Tatsuya Kubokawa:
Unified improvements in estimation of a normal covariance matrix in high and low dimensions. J. Multivar. Anal. 143: 233-248 (2016) - [j9]Hisayuki Tsukuma:
Minimax estimation of a normal covariance matrix with the partial Iwasawa decomposition. J. Multivar. Anal. 145: 190-207 (2016) - [j8]Hisayuki Tsukuma:
Estimation of a high-dimensional covariance matrix with the Stein loss. J. Multivar. Anal. 148: 1-17 (2016) - 2015
- [j7]Hisayuki Tsukuma, Tatsuya Kubokawa:
A unified approach to estimating a normal mean matrix in high and low dimensions. J. Multivar. Anal. 139: 312-328 (2015) - [j6]Hisayuki Tsukuma, Tatsuya Kubokawa:
Estimation of the mean vector in a singular multivariate normal distribution. J. Multivar. Anal. 140: 245-258 (2015) - 2014
- [j5]Hisayuki Tsukuma:
Minimax covariance estimation using commutator subgroup of lower triangular matrices. J. Multivar. Anal. 124: 333-344 (2014) - [j4]Hisayuki Tsukuma:
Bayesian estimation of a bounded precision matrix. J. Multivar. Anal. 127: 160-172 (2014) - 2011
- [j3]Hisayuki Tsukuma, Tatsuya Kubokawa:
Modifying estimators of ordered positive parameters under the Stein loss. J. Multivar. Anal. 102(1): 164-181 (2011) - 2010
- [j2]Hisayuki Tsukuma:
Shrinkage priors for Bayesian estimation of the mean matrix in an elliptically contoured distribution. J. Multivar. Anal. 101(6): 1483-1492 (2010) - 2009
- [j1]Hisayuki Tsukuma:
Generalized Bayes minimax estimation of the normal mean matrix with unknown covariance matrix. J. Multivar. Anal. 100(10): 2296-2304 (2009)
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