Rchr
J-GLOBAL ID:200901049780473204   Update date: Sep. 28, 2024

Kano Yutaka

カノ ユタカ | Kano Yutaka
Affiliation and department:
Job title: Professor
Research field  (4): Applied mathematics and statistics ,  Basic mathematics ,  Educational psychology ,  Statistical science
Research keywords  (6): 統計科学 ,  data science ,  数理統計学 ,  多変量解析 ,  Psychometrics ,  statistical education
Research theme for competitive and other funds  (39):
  • 2015 - 2019 Statistical Science of Bioinformatics
  • 2016 - 2018 How serious is nonignorable missingness?
  • 2013 - 2017 Comprehensive study of statistical evaluation methods based on various types of data
  • 2013 - 2016 New developments of missing data analysis: NMARness and APB
  • 2012 - 2016 Bayesian network structure learning when discrete and continuous variables are present.
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Papers (59):
  • Mengfei Ran, Yihe Yang, Yutaka Kano. Robust semiparametric modeling of mean and covariance in longitudinal data. Japanese Journal of Statistics and Data Science. 2023. 6. 2. 625-648
  • Yutaka Kano. Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: “Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?” by Yuan and Fang. British Journal of Mathematical and Statistical Psychology. 2023. 76. 3. 679-681
  • Mario Nagase, Yutaka Kano. Cyclic structural causal model with unobserved confounder effect. Communications in Statistics - Theory and Methods. 2023. 52. 2. 335-345
  • Yoshiharu Takagi, Yutaka Kano. Bias reduction using surrogate endpoints as auxiliary variables. Annals of the Institute of Statistical Mathematics. 2019. 71. 4. 837-852
  • Yutaka Kano. Miss and Myth in the Analysis of Missing Data. Journal of the Japan Statistical Society. 2019. 48. 3. 199-214
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MISC (50):
  • Yutaka Kano, Miyuki Imada. Missing of Data. 2017. 100. 11. 1274-1279
  • Miyuki Imada, Kei Hirose, Manabu Yoshida, Sun Yong Kim, Naoya Toyozumi, Guillaume Lopez, Yutaka Kano. An interpersonal sentiment quantification method applied to work relationship prediction. NTT Technical Review. 2017. 15. 3
  • 森川 耕輔, 伊森 晋平, 狩野 裕. CDO1-2 不完全データに対する情報量規準(一般セッション 数学・統計(1)). 日本行動計量学会大会発表論文抄録集. 2015. 43. 66-67
  • Analysis of incomplete data. 2009. 61. 1. 71-76
  • Kenichi Hayashi, Yasutaka Shimizu, Yutaka Kano. Consistency of penalized risk of boosting methods in binary classification. New Trends in Psychometrics. 2008
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Books (6):
  • 新装版 AMOS, EQS, CALISによるグラフィカル多変量解析 : 目で見る共分散構造分析
    現代数学社 2020 ISBN:9784768705407
  • Handbook of Latent Variable and Related Models
    Elsevier 2007
  • New Developments in Psychometrics
    Springer 2003
  • (共編著)文科系の学生のための数学(上)(下)
    ナカニシヤ出版 2003
  • 多変量解析の展開 -- 隠れた構造と因果を推理する
    竹内啓 (編著) 2002
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Education (4):
  • 1986 - 1986 Doctor of Engineering
  • 1983 - 1984 Osaka University Graduate School of Engineering Science
  • 1981 - 1983 Osaka University Graduate School of Engineering Science
  • 1977 - 1981 Osaka University School of Science Department of Mathematics
Professional career (1):
  • Docter of Engineering
Work history (13):
  • 2024/04 - 現在 Doshisha University Faculty of Culture and Information Science Professor
  • 2024/04 - Osaka University
  • 2022/04 - 2024/03 武庫川女子大学 社会情報学部 教授(クロスアポイントメント)
  • 2022/04 - 2024/03 大阪大学, 数理・データ科学教育研究センター センター長
  • 2004/04 - 2024/03 Osaka University Graduate School of Engineering Science,
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Committee career (8):
  • 2021/04 - 2027/03 The Behaviormetric Society President of the Behaviormetric Society
  • 2000 - 2003 計量心理学会(Psychometric Society) Psychometrka編集委員 Board of Trustee(理事)
  • 2002 - Academic Press Journal of Multivariate Analysis,Associate Editor
  • 1994 - 2000 日本行動計量学会 理事,欧文誌編集委員,欧文誌編集委員長
  • 1994 - 2000 日本統計学会 評議員,欧文誌編集委員
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Awards (7):
  • 2018/06 - 日本統計学会 第23回 日本統計学会賞
  • 2014/09 - 日本行動計量学会 第29回 林知己夫賞(功績賞)
  • 2013/06 - 日本統計学会 第 7回 研究業績賞
  • 2009/05 - 大阪大学 平成20年度 第2学期 共通教育賞(優れた授業を実践した教員)
  • 2003/12 - 大阪大学 平成15年度 第1学期 共通教育賞(優れた授業を実践した教員)
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Association Membership(s) (6):
日本分類学会 ,  日本数学会 ,  応用統計学会 ,  計量心理学会(Psychometric Society) ,  日本行動計量学会 ,  日本統計学会
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