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pro vyhledávání: '"Tsukuma, Hisayuki"'
Autor:
Tsukuma, Hisayuki
This paper deals with the problem of estimating a slope parameter in a simple linear regression model, where independent variables have functional measurement errors. Measurement errors in independent variables, as is well known, cause biasedness of
Externí odkaz:
http://arxiv.org/abs/1804.03029
Autor:
Tsukuma, Hisayuki, Kubokawa, Tatsuya
This paper deals with the problem of estimating predictive densities of a matrix-variate normal distribution with known covariance matrix. Our main aim is to establish some Bayesian predictive densities related to matricial shrinkage estimators of th
Externí odkaz:
http://arxiv.org/abs/1703.10393
Autor:
Tsukuma, Hisayuki
The problem of estimating a normal covariance matrix is considered from a decision-theoretic point of view, where the dimension of the covariance matrix is larger than the sample size. This paper addresses not only the nonsingular case but also the s
Externí odkaz:
http://arxiv.org/abs/1506.00748
Autor:
Tsukuma, Hisayuki
Publikováno v:
Japanese Journal of Statistics & Data Science; Jun2024, Vol. 7 Issue 1, p377-393, 17p
Autor:
Tsukuma, Hisayuki, Kubokawa, Tatsuya
Publikováno v:
In Journal of Multivariate Analysis July 2017 159:138-150
Autor:
Tsukuma, Hisayuki
Publikováno v:
In Journal of Multivariate Analysis June 2016 148:1-17
Autor:
Tsukuma, Hisayuki
Publikováno v:
In Journal of Multivariate Analysis March 2016 145:190-207
Autor:
Tsukuma, Hisayuki, Kubokawa, Tatsuya
Publikováno v:
In Journal of Multivariate Analysis January 2016 143:233-248
Autor:
Tsukuma, Hisayuki
Publikováno v:
Japanese Journal of Statistics and Data Science; 20240101, Issue: Preprints p1-30, 30p