Makigusa Natsumi

Affiliation and department：

Research field (1)： Applied mathematics and statistics

Research keywords (6)：二標本検定 , 漸近理論 , 高次元小標本 , 多変量解析 , 正規性の検定 , カーネル法

Research theme for competitive and other funds (1)：

Papers (3)：

N. Makigusa. Two-sample test based on maximum variance discrepancy. Communications in Statistics - Theory and Methods. 2023. 5421-5438
Natsumi Makigusa, Kanta Naito. Asymptotics and practical aspects of testing normality with kernel methods. Journal of Multivariate Analysis. 2020. 180. 104665-104665
Natsumi Makigusa, Kanta Naito. Asymptotic normality of a consistent estimator of maximum mean discrepancy in Hilbert space. Statistics & Probability Letters. 2020. 156. 108596-108596

MISC (2)：

Natsumi Makigusa. Kernel Method and its Application. 2023. 99-105
Natsumi Makigusa. Two-sample test based on maximum variance discrepancy. Preprint, arxiv: 2012.00980. 2020

Lectures and oral presentations (22)：

Nonlinear support vector regression with penalized likelihood
(IMS Asia Pacific Rim Meeting 2024 2024)
罰則付き尤度に基づく非線形サポートベクター回帰
(九州大学統計科学セミナー 2023)
非線形サポートベクター回帰のハイパーパラメータの決定手法
(日本計算機統計学会第37回シンポジウム 2023)
非線形サポートベクター回帰のハイパーパラメータの推定
(2023年度統計関連学会連合大会 2023年9月 2023)
Two-sample test based on the variance of a positive definite kernel
(25th International Conference on Computational Statistics 2023)

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Education (5)：

Professional career (1)：

Work history (3)：

2023/04 - 現在 Chuo University Faculty of Science and Engineering Department of Data Science for Business Innovation
2022/04 - 2023/03 横浜市立大学大学院生命ナノシステム科学研究科特任助教
2021/04 - 2022/03 Yokohama City University Graduate School of Data Science

Awards (3)：

Association Membership(s) (2)：

日本計算機統計学会 , 日本統計学会

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