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J-GLOBAL ID：201601009162887590
Update date: Apr. 02, 2024
Tsukuda Koji
Tsukuda Koji
Affiliation and department：
Research field (2)：
Applied mathematics and statistics
, Statistical science
Research theme for competitive and other funds (2)：
- 2021 - 2025 統計的多様性に対する推測の深化
- 2018 - 2021 Developing statistical models representing diversity
Papers (16)：
MISC (8)：
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Kou Fujimori, Koji Tsukuda. Two step estimations via the Dantzig selector for models of stochastic processes with high-dimensional parameters. arXiv. 2024. 2404.00888
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Koji Tsukuda, Shun Matsuura. Estimators for multivariate allometric regression model. arXiv. 2024. 2402.11219
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Yoichi Nishiyama: Martingale Methods in Statistics. 2024. 76. 1. 105-111
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Kohei Kawamoto, Yuichi Goto, Koji Tsukuda. Spectral clustering algorithm for the allometric extension model. 2023. 2309.06264
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Koji Tsukuda. Evaluating moments of length of Pitman partition. arXiv. 2022. 2008.12472
ｍore...
Lectures and oral presentations (11)：
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Asymptotic distribution of the trace of the products of four high-dimensional Wishart matrices and its application
(The Institute for Mathematical Statistics - Asia-Pacific Rim Meeting 2024 2024)
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A study on estimation in multivariate allometric regression
(6th International Conference on Econometrics and Statistics 2023)
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突然変異パラメータと標本サイズが同時に大きくなる場合のEwens抽出公式に対するポアソン近似について
(2022年度統計関連学会連合大会 2022)
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Testing allometric extension in high-dimensional and spiked eigenvalue situations
(5th International Conference on Econometrics and Statistics 2022)
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Fluryの共分散行列モデルに対する高次元二標本検定の検討
(2021年度統計関連学会連合大会 2021)
ｍore...
Professional career (1)：
- Ph.D. (SOKENDAI, the Graduate University for Advanced Studies)
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