佃康司

Tsukuda Koji

所属機関・部署：
職名：准教授

研究分野 (2件)：応用数学、統計数学 , 統計科学

競争的資金等の研究課題 (2件)：

論文 (16件)：

佃康司. 2つのパラメータが大きいときのEwens抽出公式に対するポアソン近似に関する結果の紹介. 日本統計学会誌. 2023. 53. 1. 205-225
Koji Tsukuda, Shun Matsuura. High-dimensional hypothesis testing for allometric extension model. Journal of Multivariate Analysis. 2023. 197. 105208
Koji Tsukuda, Shun Matsuura. Limit theorem associated with Wishart matrices with application to hypothesis testing for common principal components. Journal of Multivariate Analysis. 2021. 186. -. 104822
Koji Tsukuda, Yoichi Nishiyama. Weak convergence of marked empirical processes in a Hilbert space and its applications. Electronic Journal of Statistics. 2020. 14. 2. 3914-3938
Koji Tsukuda, Hiroshi Kurata. Covariance structure associated with an equality between two general ridge estimators. Statistical Papers. 2020. 61. 3. 1069-1084

MISC (8件)：

Kou Fujimori, Koji Tsukuda. Two step estimations via the Dantzig selector for models of stochastic processes with high-dimensional parameters. arXiv. 2024. 2404.00888
Koji Tsukuda, Shun Matsuura. Estimators for multivariate allometric regression model. arXiv. 2024. 2402.11219
佃康司. Yoichi Nishiyama: Martingale Methods in Statistics. 数学. 2024. 76. 1. 105-111
Kohei Kawamoto, Yuichi Goto, Koji Tsukuda. Spectral clustering algorithm for the allometric extension model. arXiv. 2023. 2309.06264
Koji Tsukuda. Evaluating moments of length of Pitman partition. arXiv. 2022. 2008.12472

講演・口頭発表等 (11件)：

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)
A study on estimation in multivariate allometric regression
(6th International Conference on Econometrics and Statistics 2023)
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)
Testing allometric extension in high-dimensional and spiked eigenvalue situations
(5th International Conference on Econometrics and Statistics 2022)
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)

学位 (1件)：

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佃 康司