Naito Kanta

ナイトウカンタ | Naito Kanta

Affiliation and department：
Job title： Professor

Research field (2)： Applied mathematics and statistics , Statistical science

Research keywords (4)：関数推定 , Nonparametric Smoothing , Semiparametric Smoothing , Multivariate Analysis

Research theme for competitive and other funds (14)：

2023 - 2027 高次元統計解析に有効な関数推定法の深化・展開研究
2019 - 2022 化学分析と数理統計解析に基づく高精度かつ簡便な考古学石材の原産地推定法の確立
2019 - 2022 セミパラメトリック関数推定に基づく統計解析の新たな展開
2015 - 2019 High-dimensional semiparametric inference and machine learning
2011 - 2016 Organ malformations as results of accumulated polarity disruptions in epithelial tubular structures during organogenesis and histogenesis

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Papers (51)：

Hiroya Yamazoe, Kanta Naito. Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space. Computational Statistics and Data Analysis. 2024. Article 107891
Koudai Watanabe, Kanta Naito, Inge Koch. Robustness of Principal Component Analysis with Spearman’s Rank Matrix. Journal of Statistical Theory and Practice. 2024. 18. Article 6
Kiheiji Nishida, Kanta Naito. Kernel density estimation by stagewise algorithm with a simple dictionary. Computationa Statistics. 2022. 39. 523-560
Takumi Uemoto, Kanta Naito. Support vector regression with penalized likelihood. Computational Statistics and Data Analysis. 2022. 174. 107522-107522
Inge Koch, Lyron Winderbaum, Kanta Naito. Principal component analysis of standard and spherical covariances from the population and random samples to real and simulated data. American Journal of Theoretical and Applied Statistics. 2022. 11. 4. 122-139

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MISC (3)：

KOMORI Osamu, NAITO Kanta, EGUCHI Shinto. Boosting for density estimation based on U loss function. IEICE technical report. 2010. 110. 265. 73-82
Bandwidth selection for kernel smoothing in binomial regression. 2003. 71. 129-130
Nonparametric regression with additive adjustment. 2002. 155. 115-128

Books (4)：

Lectures and oral presentations (3)：

生物種の多次元的成長過程の推測ー多次元空間における1次元曲線の同時信頼領域ー
(久留米大学バイオ統計センター公開セミナー 2024)
Semiparametric function estimation with localized Bregman divergence
(Waseda Seminar on Mathematical Statistics 2024)
多次元空間における埋め込み1次元曲線の同時信頼領域
(青葉山統計科学セミナー 2024)

Education (4)：

Professional career (1)：

Work history (5)：

2024/04 - 現在 Gtaduate School of Information Sciences, Tohoku University Professor
2018/09 - 千葉大学理学部数学・情報数理学科教授
2012/04 - 島根大学総合理工学部数理・情報システム学科教授
2004/01 - 島根大学総合理工学部数理・情報システム学科准教授
1998/02 - Shimane University Interdisciplinary Faculty of Science and Engineering, Department of Mathematics and Computer Science Lecturer

Committee career (4)：

Association Membership(s) (7)：

American Statistical Association , Institute of Mathematical Statistics , 日本応用統計学会 , 日本行動計量学会 , 日本応用数理学会 , 日本数学会 , 日本統計学会

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