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Nagahata Hideaki  長幡 英明

ORCIDConnect your ORCID iD *help
Researcher Number 00815128
Other IDs
Affiliation (Current) 2025: 大学共同利用機関法人情報・システム研究機構(機構本部施設等), データサイエンス共同利用基盤施設, 特任研究員
Affiliation (based on the past Project Information) *help 2022: 統計数理研究所, リスク解析戦略研究センター, 外来研究員
2022: 統計数理研究所, リスク解析戦略研究センター, 客員准教授
2020 – 2021: 統計数理研究所, リスク解析戦略研究センター, 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 07080:Business administration-related
Keywords
Principal Investigator
転移学習 / ビックデータ / デフォルト時損失率 / データ結合 / データ構造化 / 機械学習 / 信用リスク
  • Research Projects

    (1 results)
  • Research Products

    (2 results)
  • Co-Researchers

    (1 People)
  •  Development of a Practically Applicable Estimation Method for Expected Loss Ratio of SMEs: Using Integrated Big Data of Regional BanksPrincipal Investigator

    • Principal Investigator
      Nagahata Hideaki
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 07080:Business administration-related
    • Research Institution
      The Institute of Statistical Mathematics

All 2023 2020

All Journal Article Book

  • [Book] ANOVA with Dependent Errors2023

    • Author(s)
      Yuichi Goto, Hideaki Nagahata, Masanobu Taniguchi, Anna Clara Monti, Xiaofei Xu
    • Total Pages
      100
    • Publisher
      Springer Nature
    • Data Source
      KAKENHI-PROJECT-20K13581
  • [Journal Article] Comparison study of two-step LGD estimation model with probability machines2020

    • Author(s)
      Tanoue Yuta、Yamashita Satoshi、Nagahata Hideaki
    • Journal Title

      Risk Management

      Volume: 22 Issue: 3 Pages: 155-177

    • DOI

      10.1057/s41283-020-00059-y

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12873, KAKENHI-PROJECT-20K13581, KAKENHI-PROJECT-16H02013
  • 1.  田上 悠太
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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