Rchr
J-GLOBAL ID:200901055695197036
Update date: Jun. 26, 2024
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
- 2011 - 2015 Asymmetric and nonlinear statistical theory and its applications to economics and bioscience
- 2010 - 2014 Statistical prediction, causation, incomplete data analysis and foundation of sciencee
- 2011 - 2013 Cross-disciplinary research between machine learning and biostatistics based on curve estimation
- 2008 - 2010 New developments on local fitting semiparametric inference
- 2006 - 2009 Comprehensive study on statistical causal inference
- 2005 - 2006 局所適合セミパラメトリック推測と統計的学習理論
- 2003 - 2005 局所適合平滑化によるセミパラメトリック推測
- 2001 - 2002 局所適合セミパラメトリックモデルによる推測理論
- 1999 - 2000 局所適合セミパラメトリック平滑化の理論
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Papers (48):
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Takumi Uemoto, Kanta Naito. Support vector regression with penalized likelihood. Computational Statistics and Data Analysis. 2022. 174. 107522-107522
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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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Yuki Matsushima, Kanta Naito. Improvement on LASSO-type estimator in nonparametric regression. Journal of Nonparametric Statistics. 2022. 1-23
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Kanta Naito, Spiridon Penev. Regression using localised functional Bregman divergence. Electronic Journal of Statistics. 2021. 15. 2. 6544-6585
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Natsumi Makigusa, Kanta Naito. Asymptotics and practical aspects of testing normality with kernel methods. Journal of Multivariate Analysis. 2020. 180. Article104665
more...
MISC (3):
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KOMORI Osamu, NAITO Kanta, EGUCHI Shinto. Boosting for density estimation based on U loss function. IEICE technical report. 2010. 110. 265. 73-82
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Bandwidth selection for kernel smoothing in binomial regression. 2003. 71. 129-130
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Nonparametric regression with additive adjustment. 2002. 155. 115-128
Books (4):
-
International Encyclopedia of Statistical Science
2018 ISBN:9784621303108
-
医学統計学ハンドブック
朝倉書店 2018 ISBN:9784254122299
-
確率・統計
学術図書出版社 2017 ISBN:9784780605969
-
医学統計学の事典
朝倉書店 2010 ISBN:9784254121766
Education (4):
- - 1997 Hiroshima University
- - 1997 Hiroshima University Graduate School, Division of Natural Science
- - 1992 Shimane University
- - 1992 Shimane University Faculty of Science
Professional career (1):
- Doctor of Science (Hiroshima University)
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
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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