Research output per year
Research output per year
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Dive into the research topics where Shun Matsuura is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Statistical Estimation of Quantization for Probability Distributions: Best Equivariant Estimator of Principal Points
Matsuura, S. & Kurata, H., 2022, Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Revised Selected Papers. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. & Umeton, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 430-441 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13163 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Bayes estimator of process capability index Cpk with a specified prior mean
Matsuura, S., 2021, (Accepted/In press) In: Communications in Statistics - Theory and Methods.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Limit theorem associated with Wishart matrices with application to hypothesis testing for common principal components
Tsukuda, K. & Matsuura, S., 2021 Nov, In: Journal of Multivariate Analysis. 186, 104822.Research output: Contribution to journal › Article › peer-review
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Optimal estimator under risk matrix in a seemingly unrelated regression model and its generalized least squares expression
Matsuura, S. & Kurata, H., 2021, (Accepted/In press) In: Statistical Papers.Research output: Contribution to journal › Article › peer-review
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Covariance matrix estimation in a seemingly unrelated regression model under Stein’s loss
Matsuura, S. & Kurata, H., 2020 Mar 1, In: Statistical Methods and Applications. 29, 1, p. 79-99 21 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)