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Shun Matsuura

  • 129 Citations
  • 7 h-Index
20072019
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Principal Points Mathematics
Squared Error Loss Mathematics
Seemingly Unrelated Regression Mathematics
Binning Mathematics
Equivariant Estimator Mathematics
Multivariate Distribution Mathematics
Spherically Symmetric Distribution Mathematics
Optimal Partition Mathematics

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Research Output 2007 2019

  • 129 Citations
  • 7 h-Index
  • 24 Article
  • 2 Conference contribution

Covariance matrix estimation in a seemingly unrelated regression model under Stein’s loss

Matsuura, S. & Kurata, H., 2019 Jan 1, In : Statistical Methods and Applications.

Research output: Contribution to journal › Article

Covariance Matrix Estimation
Seemingly Unrelated Regression
Equivariant Estimator
Covariance matrix
Regression Model

High-dimensional testing for proportional covariance matrices

Tsukuda, K. & Matsuura, S., 2019 May 1, In : Journal of Multivariate Analysis. 171, p. 412-420 9 p.

Research output: Contribution to journal › Article

Covariance matrix
High-dimensional
Directly proportional
Hypothesis Testing
Testing

Prediction variance of a central composite design with missing observation

Fujiwara, K. & Matsuura, S., 2019 Jan 1, In : Communications in Statistics - Theory and Methods.

Research output: Contribution to journal › Article

Prediction Variance
Missing Observations
Inflation
Composite
Response Surface Method

A statistical test for the hypothesis of Gaussian random function

Matsuura, S., Yamashita, H. & Kinateder, K. K. J., 2018 Feb 14, (Accepted/In press) In : Statistics. p. 1-17 17 p.

Research output: Contribution to journal › Article

Gaussian Function
Random Function
Statistical test
Asymptotic Power
Unbiased estimator

Optimal principal points estimators of multivariate distributions of location-scale and location-scale-rotation families

Matsuura, S. & Tarpey, T., 2018 Mar 20, (Accepted/In press) In : Statistical Papers. p. 1-15 15 p.

Research output: Contribution to journal › Article

Principal Points
Multivariate Distribution
Estimator
Location-scale Family
Multivariate T-distribution