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Okudo Michiko  奥戸 道子

ORCIDConnect your ORCID iD *help
Researcher Number 90887564
Other IDs
Affiliation (Current) 2026: 千葉大学, 大学院理学研究院, 准教授
Affiliation (based on the past Project Information) *help 2020 – 2025: 東京大学, 大学院情報理工学系研究科, 助教
Review Section/Research Field
Principal Investigator
1001:Information science, computer engineering, and related fields
Except Principal Investigator
Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords
Principal Investigator
数理統計学 / 微分幾何 / 多変量データ / ベイズ統計 / 縮小推定 / 情報幾何 / 多変量解析
Except Principal Investigator
多変量解析 / 点過程 / 情報幾何 / 理論構築 / 統計モデル / ベイズ予測
  • Research Projects

    (2 results)
  • Research Products

    (17 results)
  • Co-Researchers

    (4 People)
  •  無限次元統計モデルに基づくベイズ予測理論の構築とデータ解析手法の開発

    • Principal Investigator
      駒木 文保
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo
  •  High-dimensional multivariate analysis utilizing the geometric structure of statistical modelsPrincipal Investigator

    • Principal Investigator
      Okudo Michiko
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      1001:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo

All 2025 2024 2023 2022 2021 2020

All Journal Article Presentation

  • [Journal Article] Predictive densities for multivariate normal models based on extended models and shrinkage Bayes methods2024

    • Author(s)
      Michiko Okudo and Fumiyasu Komaki
    • Journal Title

      Electronic Journal of Statistics

      Volume: 18 Issue: 2 Pages: 3310-3326

    • DOI

      10.1214/24-ejs2277

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Journal Article] Matching Prior Pairs Connecting Maximum A Posteriori Estimation and Posterior Expectation2024

    • Author(s)
      Michiko Okudo and Keisuke Yano
    • Journal Title

      Bayesian Analysis

      Volume: - Issue: -1 Pages: 0-0

    • DOI

      10.1214/24-ba1500

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K23316, KAKENHI-PROJECT-23K11024
  • [Journal Article] Shrinkage priors for single-spiked covariance models2021

    • Author(s)
      Okudo Michiko、Komaki Fumiyasu
    • Journal Title

      Statistics & Probability Letters

      Volume: 176 Pages: 109127-109127

    • DOI

      10.1016/j.spl.2021.109127

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-INTERNATIONAL-16K21734, KAKENHI-PROJECT-20K23316, KAKENHI-PLANNED-16H06533
  • [Presentation] 共分散行列の縮小推定2025

    • Author(s)
      奥戸道子、清智也
    • Organizer
      日本応用数理学会 第21回研究部会連合発表会
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] Shrinkage priors for models with circulant correlation structure2025

    • Author(s)
      Michiko Okudo and Tomonari Sei
    • Organizer
      Further Developments of Information Geometry (FDIG2025)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] 事後平均とMAP推定量を漸近的に一致させるmatching prior pair2024

    • Author(s)
      奥戸道子
    • Organizer
      ベイズ計算セミナー
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] 事後平均とMAP推定量を漸近的に一致させる事前分布のペア2024

    • Author(s)
      奥戸道子、矢野恵佑
    • Organizer
      2024年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] 非線形回帰および一般化線形モデルへのベイズ拡張推定量の応用2023

    • Author(s)
      奥戸道子, 矢野恵佑
    • Organizer
      2023年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-22H00510
  • [Presentation] 非線形回帰および一般化線形モデルへのベイズ拡張推定量の応用2023

    • Author(s)
      奥戸道子, 矢野恵佑
    • Organizer
      2023年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] ベイズ拡張推定量の性質と応用2022

    • Author(s)
      奥戸道子
    • Organizer
      科研費シンポジウム 「ベイズ統計学の最近の展開」
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] Poisson 分布のパラメータ空間の q-exponential family2022

    • Author(s)
      奥戸道子, 駒木文保
    • Organizer
      2022年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] ベイズ拡張推定量の性質と応用2022

    • Author(s)
      奥戸道子
    • Organizer
      科研費シンポジウム 「ベイズ統計学の最近の展開」
    • Data Source
      KAKENHI-PROJECT-22H00510
  • [Presentation] Poisson 分布のパラメータ空間の q-exponential family2022

    • Author(s)
      奥戸道子, 駒木文保
    • Organizer
      2022年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-22H00510
  • [Presentation] Bayes extended estimators with shrinkage priors for multivariate normal models2022

    • Author(s)
      M. Okudo and F. Komaki
    • Organizer
      EcoSta 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] Bayes extended estimators with shrinkage priors for multivariate normal models2022

    • Author(s)
      Michiko Okudo, Fumiyasu Komaki
    • Organizer
      EcoSta 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22H00510
  • [Presentation] 縮小事前分布を用いたベイズ法による多変量正規分布の拡張パラメータ推定量2021

    • Author(s)
      奥戸道子, 駒木文保
    • Organizer
      2021年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K23316
  • [Presentation] 因子分析のスケール不変なベイズ推定2020

    • Author(s)
      奥戸道子、駒木文保
    • Organizer
      2020年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K23316
  • 1.  駒木 文保 (70242039)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 2.  諸星 穂積 (10272387)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  村松 正和 (70266071)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  田中 冬彦 (90456161)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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