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J-GLOBAL ID:200901031260061861   Update date: Feb. 29, 2024

Ninomiya Yoshiyuki

ニノミヤ ヨシユキ | Ninomiya Yoshiyuki
Affiliation and department:
Job title: Professor
Homepage URL  (1): https://sites.google.com/view/yoshiyukininomiya/home
Research field  (1): Statistical science
Research keywords  (7): model selection ,  multiple testing ,  propensity score analysis ,  selective inference ,  sparse estimation ,  singular model analysis ,  change-point analysis
Research theme for competitive and other funds  (22):
  • 2023 - 2028 Developing Information Criteria for Modern Statistics
  • 2023 - 2026 Developing variable selection methods and post-selection inference under double-descent phenomena
  • 2017 - 2021 Methods for selecting and testing hypothesis in big data-driven science and its demonstration in materials, biology, and medicine
  • 2016 - 2021 セミパラメトリック統計解析におけるモデル選択理論の構築
  • 2015 - 2019 Statistical modeling of spatio-temporal data on natural and social phenomena, and those understanding
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Papers (33):
  • Ryoto Ozaki, Yoshiyuki Ninomiya. New penalty in information criteria for the ARCH sequence with structural changes. Stat. 2023. 12. e612. 1-17
  • Yoshiyuki Ninomiya. Information criterion based on SURE theory for LASSO. 2023. 53. 1. 29-47
  • Ryoto Ozaki, Yoshiyuki Ninomiya. Information criteria for detecting change-points in the Cox proportional hazards model. Biometrics. 2023. 79. 4. 3050-3065
  • Daeju Kim, Shuichi Kawano, Yoshiyuki Ninomiya. Smoothly varying regularization. Computational Statistics and Data Analysis. 2022. 179. 107644. 1-15
  • Yoshiyuki Ninomiya. Information criteria for sparse methods in causal inference. arXiv:2203.15308. 2022
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Books (2):
  • 日本統計学会公式認定 統計検定1級対応 統計学
    東京図書 2013 ISBN:448902150X
  • 技術に生きる現代数学
    岩波書店 2008 ISBN:4000052411
Lectures and oral presentations  (24):
  • Prior intensified information criterion
    (ISI-ISM-ISSAS Joint Conference 2023)
  • Selective inference in propensity score analysis
    (Statistical Computing and Robust Inference for High Dimensional Data 2023)
  • 情報量規準
    (統計数理研究所 公開講座 2023)
  • Selective inference in propensity score analysis
    (Statistics Seminar at KU Leuven 2023)
  • 高次元スパース回帰のための AIC の漸近的性質
    (研究集会「多変量統計学・統計的モデル選択の新展開」 2023)
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Education (3):
  • 1998 - 2001 The Graduate University for Advanced Studies School of Multidisciplinary Sciences Department of Statistical Science
  • 1996 - 1998 The University of Tokyo The Graduate School of Engineering Department of Mathematical Engineering and Information Physics
  • 1992 - 1996 The University of Tokyo The Faculty of Engineering Department of Mathematical Engineering and Information Physics
Professional career (2):
  • Doctor of Philosophy (The Graduate University for Advanced Studies)
  • Master of Engineering (The University of Tokyo)
Work history (6):
  • 2018/04 - 現在 The Institute of Statistical Mathematics Department of Mathematical Analysis and Statistical Inference Professor
  • 2011/04 - 2018/03 Kyushu University Institute of Mathematics for Industry Associate Professor
  • 2007/05 - 2011/03 Kyushu University Faculty of Mathematics Associate Professor
  • 2007/04 - 2007/04 Kyushu University Faculty of Mathematics Assistant Professor
  • 2001/10 - 2007/03 Kyushu University Faculty of Mathematics Assistant Professor
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Committee career (9):
  • 2021/10 - 現在 Annals of the Institute of Statistical Mathematics Chief Editor
  • 2019/01 - 現在 日本計量生物学会 企画委員
  • 2016/06 - 現在 応用統計学会 評議員
  • 2019/01 - 2021/12 応用統計学会 企画理事
  • 2018/04 - 2021/09 Annals of the Institute of Statistical Mathematics Co-Edotor
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Awards (2):
  • 2021/09 - The Japan Statistical Society Research Achievement Award
  • 2008/06 - Biometric Society of Japan Encouragement Award
Association Membership(s) (6):
The Mathematical Society of Japan ,  Japanese Society of Applied Statistics ,  The Japan Statistical Society ,  Research Association of Statistical Sciences ,  Mathematics Education Society of Japan ,  The Biometric Society of Japan
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