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Kawakubo Yuki  川久保 友超

ORCIDConnect your ORCID iD *help
Researcher Number 80771881
Other IDs
Affiliation (Current) 2025: 千葉大学, 大学院社会科学研究院, 准教授
Affiliation (based on the past Project Information) *help 2018 – 2024: 千葉大学, 大学院社会科学研究院, 准教授
2017: 千葉大学, 大学院社会科学研究院, 講師
2016: 千葉大学, 法政経学部, 講師
Review Section/Research Field
Principal Investigator
Basic Section 07030:Economic statistics-related / Economic statistics
Except Principal Investigator
Sections That Are Subject to Joint Review: Basic Section07030:Economic statistics-related , Basic Section07060:Money and finance-related / Basic Section 07060:Money and finance-related / Basic Section 07030:Economic statistics-related / Medium-sized Section 7:Economics, business administration, and related fields
Keywords
Principal Investigator
小地域推定 / 混合効果モデル / 変数選択 / 経済統計学 / グループデータ / 所得分布 / ベイズ推定 / 線形混合モデル / 変量効果モデル / 情報量規準 … More
Except Principal Investigator
… More ベイズ統計学 / ベイズモデル / 時空間モデリング / ローレンツ曲線 / 時空間モデル / グループ・データ / グループデータ / ジニ係数 / 所得分配 / 不平等 / マルコフ連鎖モンテカルロ法 / 所得分布 Less
  • Research Projects

    (5 results)
  • Research Products

    (41 results)
  • Co-Researchers

    (8 People)
  •  Novel Bayesian predictive methods for social science

    • Principal Investigator
      小林 弦矢
    • Project Period (FY)
      2024 – 2028
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
      Basic Section 07060:Money and finance-related
      Sections That Are Subject to Joint Review: Basic Section07030:Economic statistics-related , Basic Section07060:Money and finance-related
    • Research Institution
      Meiji University
  •  小地域推定の新たな手法開発と官庁統計への応用Principal Investigator

    • Principal Investigator
      川久保 友超
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Chiba University
  •  Bayesian spatio-temporal modeling of income inequality

    • Principal Investigator
      各務 和彦
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 7:Economics, business administration, and related fields
    • Research Institution
      Nagoya City University
  •  Variable selection problem and evaluation of measuring uncertainty in small area estimationPrincipal Investigator

    • Principal Investigator
      Kawakubo Yuki
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Chiba University
  •  Variable selection problem for mixed effects model and its application to small area estimationPrincipal Investigator

    • Principal Investigator
      Kawakubo Yuki
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Economic statistics
    • Research Institution
      Chiba University

All 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

  • [Journal Article] Small area estimation of general finite-population parameters based on grouped data2023

    • Author(s)
      Kawakubo Yuki、Kobayashi Genya
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 184 Pages: 107741-107741

    • DOI

      10.1016/j.csda.2023.107741

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K01421, KAKENHI-PROJECT-23K20592, KAKENHI-PROJECT-22K01421, KAKENHI-PROJECT-20H00080
  • [Journal Article] Bayesian Approach to Lorenz Curve Using Time Series Grouped Data2021

    • Author(s)
      Kobayashi Genya、Yamauchi Yuta、Kakamu Kazuhiko、Kawakubo Yuki、Sugasawa Shonosuke
    • Journal Title

      Journal of Business & Economic Statistics

      Volume: Accepted Issue: 2 Pages: 1-16

    • DOI

      10.1080/07350015.2021.1883438

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K13667, KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-20K01590
  • [Journal Article] Estimation and inference for area-wise spatial income distributions from grouped data2020

    • Author(s)
      Sugasawa Shonosuke、Kobayashi Genya、Kawakubo Yuki
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 145 Pages: 106904-106904

    • DOI

      10.1016/j.csda.2019.106904

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-19K13667
  • [Journal Article] Small area estimation with spatially varying natural exponential families2020

    • Author(s)
      Sugasawa, S., Kawakubo, Y. and Ogasawara, K.
    • Journal Title

      Journal of Statistical Computation and Simulation

      Volume: 90 Issue: 6 Pages: 1039-1056

    • DOI

      10.1080/00949655.2020.1714048

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-19K13667, KAKENHI-PROJECT-19K13754, KAKENHI-PROJECT-17K03096
  • [Journal Article] Observed best selective prediction in small area estimation2019

    • Author(s)
      Sugasawa, S., Kawakubo, Y. and Datta, G.S.
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 173 Pages: 383-392

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Journal Article] A variant of AIC based on the Bayesian marginal likelihood2018

    • Author(s)
      Yuki Kawakubo, Tatsuya Kubokawa and Muni S. Srivastava
    • Journal Title

      Sankhya B

      Volume: 印刷中 Issue: 1 Pages: 60-84

    • DOI

      10.1007/s13571-018-0152-7

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17101, KAKENHI-PROJECT-18K11188
  • [Journal Article] Conditional Akaike information under covariate shift with application to small area estimation2018

    • Author(s)
      Yuki Kawakubo, Shonosuke Sugasawa and Tatsuya Kubokawa
    • Journal Title

      Canadian Journal of Statistics

      Volume: 印刷中 Issue: 2 Pages: 316-335

    • DOI

      10.1002/cjs.11354

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K17101, KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-18K11188, KAKENHI-PROJECT-15H01943
  • [Journal Article] Latent mixture modeling for clustered data2018

    • Author(s)
      Sugasawa Shonosuke、Kobayashi Genya、Kawakubo Yuki
    • Journal Title

      Statistics and Computing

      Volume: 29 Issue: 3 Pages: 537-548

    • DOI

      10.1007/s11222-018-9821-7

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-16K17101
  • [Presentation] 所得不平等度の分解の推定2023

    • Author(s)
      川久保友超
    • Organizer
      統計科学・機械学習・情報数学の最前線
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 所得不平等度の分解の推定2023

    • Author(s)
      川久保友超
    • Organizer
      2023年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] On estimating the decomposition of the income inequality measures2023

    • Author(s)
      川久保友超
    • Organizer
      経済統計・公的統計の諸問題
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 所得不平等度の分解の推定2023

    • Author(s)
      川久保友超
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-22K01421
  • [Presentation] On estimating the decomposition of the income inequality measures2023

    • Author(s)
      川久保友超
    • Organizer
      KSS Summer Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] On estimating the decomposition of the income inequality measures2023

    • Author(s)
      川久保友超
    • Organizer
      Computational and Finaicial Econometrics (CFE 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] On estimating the decomposition of the income inequality measures2023

    • Author(s)
      Yuki Kawakubo
    • Organizer
      CFE 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K01421
  • [Presentation] On estimating the decomposition of the income inequality measures2023

    • Author(s)
      Yuki Kawakubo
    • Organizer
      KSS Summer Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K01421
  • [Presentation] Estimation of area-wise income distribution based on household-level grouped data2022

    • Author(s)
      Yuki Kawakubo
    • Organizer
      EcoSta 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K01421
  • [Presentation] 個票レベルのグループデータにもとづいた地域別所得分布の推定2022

    • Author(s)
      川久保友超
    • Organizer
      応用計量経済学の展開
    • Data Source
      KAKENHI-PROJECT-22K01421
  • [Presentation] Area-wise variable selection based on mean squared prediction error in Fay-Herriot model2022

    • Author(s)
      Yuki Kawakubo
    • Organizer
      SAE 2022: Small Area Estimation, Surveys and Data Science
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K01421
  • [Presentation] 個票レベルのグループデータにもとづいた地域別所得分布の推定2022

    • Author(s)
      川久保友超
    • Organizer
      応用計量経済学の展開
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Estimation of area-wise income distribution based on household-level grouped data2022

    • Author(s)
      Kawakubo Yuki
    • Organizer
      EcoSta 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Area-wise variable selection based on mean squared prediction error in Fay-Herriot model2022

    • Author(s)
      Kawakubo Yuki
    • Organizer
      SAE 2022: Small Area Estimation, Surveys and Data Science
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 線形混合モデルにおける平均二乗予測誤差による変数選択2021

    • Author(s)
      川久保友超
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Presentation] 線形混合モデルにおける平均二乗予測誤差による変数選択2021

    • Author(s)
      川久保友超
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 線形混合モデルの変数選択問題2020

    • Author(s)
      川久保友超
    • Organizer
      応用統計ワークショップ
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 線形混合モデルの変数選択問題2020

    • Author(s)
      川久保友超
    • Organizer
      東京大学・応用統計ワークショップ
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Presentation] Observed best selective prediction in small area estimation2019

    • Author(s)
      Yuki Kawakubo
    • Organizer
      Conference on Current Trends in Surevey Statistics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Presentation] Small area estimation of general finite-population parameters based on grouped data2019

    • Author(s)
      Yuki Kawakubo
    • Organizer
      Workshop on Bayesian Modelling of Income and Wealth
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Presentation] Conditional Akaike information under covariate shift with application to small area estimation2019

    • Author(s)
      Yuki Kawakubo
    • Organizer
      EcoSta 2019
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Presentation] Variable selection problem for linear mixed model under covariate shift2019

    • Author(s)
      Yuki Kawakubo
    • Organizer
      INDSTATS 2019
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Presentation] Small area estimation for grouped data2019

    • Author(s)
      Yuki Kawakubo
    • Organizer
      Eastern Asia Chapter of ISBA
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13667
  • [Presentation] Small area estimation for grouped data2018

    • Author(s)
      Yuki Kawakubo
    • Organizer
      Eastern Asia Chapter of ISBA
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] Small area estimation for grouped data2018

    • Author(s)
      Yuki Kawakubo
    • Organizer
      Colloquium at Department of Statistics, University of Georgia
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] 度数分布にもとづいた小地域推定2018

    • Author(s)
      川久保友超
    • Organizer
      計量経済学ワークショップ,慶應義塾大学経済研究所
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] observed best prediction法による小地域推定2018

    • Author(s)
      川久保友超
    • Organizer
      ベイズ計量経済分析研究集会
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] Small area estimation for grouped data2018

    • Author(s)
      Yuki Kawakubo
    • Organizer
      ISBA World Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] 小地域推定モデルの変数選択2018

    • Author(s)
      川久保友超
    • Organizer
      公的大規模データの利用におけるプライバシー保護の理論と応用
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] Small area estimation for grouped data2017

    • Author(s)
      Yuki Kawakubo
    • Organizer
      International Workshop on Bayesian Econometric Analysis
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] Small area estimation for grouped data2017

    • Author(s)
      Yuki Kawakubo
    • Organizer
      統計関連学会連合大会
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] Small area estimation for grouped data2017

    • Author(s)
      Yuki Kawakubo
    • Organizer
      Small Area Estimation 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17101
  • [Presentation] Conditional Akaike information under covariate shift with application to small area prediction2016

    • Author(s)
      川久保友超
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      金沢大学
    • Year and Date
      2016-09-04
    • Data Source
      KAKENHI-PROJECT-16K17101
  • 1.  小林 弦矢 (00725103)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 3 results
  • 2.  菅澤 翔之助 (50782380)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 3.  各務 和彦 (00456005)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  古澄 英男 (10261273)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  西埜 晴久 (20305410)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  山内 雄太 (00914160)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  入江 薫 (20789169)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  城田 慎一郎 (90845918)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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