Updated on 2024/10/18

写真a

 
SHINODA Kazuhiko
 
Organization
Graduate School of Economics Department of Socio-Economic System Socio-Environmental System Lecturer
Graduate School
Graduate School of Economics
Undergraduate School
School of Economics Department of Economics
Title
Lecturer
External link

Degree 3

  1. 博士(経済学) ( 2023.3   慶應義塾大学 ) 

  2. 修士(システムエンジニアリング学) ( 2017.3   慶應義塾大学 ) 

  3. 学士(経済学) ( 2015.3   慶應義塾大学 ) 

Research Interests 3

  1. セミパラメトリック推論

  2. 統計的因果推論

  3. データ融合

Research Areas 2

  1. Informatics / Statistical science  / 機械学習

  2. Informatics / Statistical science  / 計量経済学

Research History 3

  1. RIKEN

    2023.4

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  2. Nagoya University   Graduate School of Economics Department of Socio-Economic System Socio-Environmental System   Lecturer

    2023.4

  3. トヨタ自動車株式会社   未来創生センター

    2017.4 - 2023.3

Education 3

  1. Keio University

    2020.4 - 2023.3

  2. Keio University

    2015.4 - 2017.3

  3. Keio University

    2011.4 - 2015.3

 

Papers 4

  1. Direct estimation of expectation ratio : an application to causal inference by data combination

    Mita journal of economics   Vol. 115 ( 4 ) page: 347 (27) - 366 (46)   2023.1

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (bulletin of university, research institution)  

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  2. Estimation of Local Average Treatment Effect by Data Combination Reviewed

    Kazuhiko Shinoda, Takahiro Hoshino

    Proceedings of the AAAI Conference on Artificial Intelligence   Vol. 36 ( 8 ) page: 8295 - 8303   2022

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: https://doi.org/10.1609/aaai.v36i8.20804

  3. Binary Classification from Positive Data with Skewed Confidence Reviewed

    Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama

    Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence     page: 3328 - 3334   2020

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: https://doi.org/10.24963/ijcai.2020/460

  4. Daytime Sleepiness Level Prediction Using Respiratory Information Reviewed

    Kazuhiko Shinoda, Masahiko Yoshii, Hayato Yamaguchi, Hirotaka Kaji

    Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence     page: 5967 - 5974   2019

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: https://doi.org/10.24963/ijcai.2019/827

Books 1

  1. インベンス・ルービン統計的因果推論

    Imbens, Guido W., Rubin, Donald B., 星野, 崇宏, 繁桝, 算男( Role: Joint translator ,  21章「非交絡仮定の評価」)

    朝倉書店  2023.7  ( ISBN:9784254122916

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    Total pages:xix, 264, 27p   Language:Japanese

    CiNii Books

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Presentations 2

  1. Estimation of Causal Parameters Identified as the Ratio of Conditional Expectation Functions Invited

    篠田和彦

    2023年度統計関連学会連合大会  2023.9.6 

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    Event date: 2023.9

    Presentation type:Oral presentation (general)  

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  2. 条件付き期待値の比として識別される因果パラメータの推定

    第1回デジタルデータ駆動型研究セミナー(名古屋大学経済学研究科)  2023.10.18 

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Other research activities 1

  1. 査読経験

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    AAAI Conference on Artificial Intelligence
    Neural Computation
    Japanese Journal of Statistics and Data Science (JJSD)

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KAKENHI (Grants-in-Aid for Scientific Research) 2

  1. 欠測共変量を含むデータからの因果推論:データ融合アプローチ

    Grant number:24K20740  2024.4 - 2027.3

    日本学術振興会  科学研究費助成事業  若手研究

    篠田 和彦

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  2. 幅広い因果推論の問題に適用可能な条件付き期待値比推定量の開発

    Grant number:23K19960  2023.8 - 2025.3

    日本学術振興会  科学研究費助成事業  研究活動スタート支援

    篠田 和彦

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    Authorship:Principal investigator 

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Teaching Experience (Off-campus) 4

  1. 上級計量経済Ⅰ

    2024.4 Nagoya University)

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  2. Econometrics II

    2023.10 - 2024.1 Nagoya University)

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  3. Statistical Methods and Applications

    2023.4 Nagoya University)

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  4. First Year Seminar

    2023.4 - 2023.7 Nagoya University)

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Academic Activities 3

  1. AAAI2025 Reviewer

    Role(s):Peer review

    2024

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    Type:Peer review 

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  2. AAAI2024 Reviewer

    Role(s):Peer review

    2023

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    Type:Peer review 

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  3. AAAI2023 Reviewer

    Role(s):Peer review

    2022

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    Type:Peer review 

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