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Kobayashi Genya  小林 弦矢

ORCIDConnect your ORCID iD *help
Researcher Number 00725103
Other IDs
Affiliation (Current) 2025: 明治大学, 商学部, 専任教授
Affiliation (based on the past Project Information) *help 2023 – 2024: 明治大学, 商学部, 専任教授
2022 – 2024: 明治大学, 商学部, 専任准教授
2017 – 2022: 千葉大学, 大学院社会科学研究院, 准教授
2016: 千葉大学, 法政経学部, 准教授
2015: 千葉大学, 法政経学部, 講師
Review Section/Research Field
Principal Investigator
Basic Section 07030:Economic statistics-related / 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 / Economic statistics
Except Principal Investigator
Basic Section 07030:Economic statistics-related / Medium-sized Section 7:Economics, business administration, and related fields
Keywords
Principal Investigator
ベイズ統計学 / 所得分布 / 状態空間モデル / 分位点回帰モデル / マルコフ連鎖モンテカルロ法 / 非線形回帰 / 混合モデル / 小地域推定 / ベイズ統計 / 離散データ … More / グループデータ / 時空間モデル / 分位点 / ベイズ計量経済学 / ロレンツ曲線 / 空間統計 / ベイズ推定 / 打ち切りデータ / ディリクレ過程 / Bスプライン / 操作変数 / ベイズモデル / 内生変数 / 分位点回帰 … More
Except Principal Investigator
時空間統計 / ロバスト推測 / 階層モデル / 空間データ / 時系列データ / ロバスト統計 / 空間データ解析 / 時系列データ解析 / 予測統合 / ベイズ統計 / 因果推論 / 大規模時空間データ / 一般化ベイズ / 状態空間モデル / ベイズモデリング / 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

    (6 results)
  • Research Products

    (43 results)
  • Co-Researchers

    (10 People)
  •  Novel Bayesian predictive methods for social sciencePrincipal Investigator

    • 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
  •  Bayesian time series and spatio-temporal Bayesian analysis of income and povertyPrincipal Investigator

    • Principal Investigator
      Genya Kobayashi
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Meiji University
      Chiba University
  •  大規模データに対するベイズモデリングの新展開

    • Principal Investigator
      菅澤 翔之助
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Keio University
      The University of Tokyo
  •  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
  •  Bayesian shape-restricted functional regression with application to economic dataPrincipal Investigator

    • Principal Investigator
      Kobayashi Genya
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Chiba University
  •  Bayesian quantile regression wiht endogeneity for various type of dataPrincipal Investigator

    • Principal Investigator
      Kobayashi Genya
    • Project Period (FY)
      2015 – 2017
    • 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 2015

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] Robust fitting of mixture models using weighted complete estimating equations2022

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

      Computational Statistics & Data Analysis

      Volume: 174 Pages: 107526-107526

    • DOI

      10.1016/j.csda.2022.107526

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K01421, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [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] Predicting intervention effect for COVID-19 in Japan: state space modeling approach2020

    • Author(s)
      Kobayashi Genya、Sugasawa Shonosuke、Tamae Hiromasa、Ozu Takayuki
    • Journal Title

      BioScience Trends

      Volume: 14 Issue: 3 Pages: 174-181

    • DOI

      10.5582/bst.2020.03133

    • NAID

      130007877649

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757
  • [Journal Article] Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution2020

    • Author(s)
      Kobayashi Genya、Roh Taeyoung、Lee Jangwon、Choi Taeryon
    • Journal Title

      Canadian Journal of Statistics

      Volume: 00 Issue: 3 Pages: 1-33

    • DOI

      10.1002/cjs.11582

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12754
  • [Journal Article] Approximate Bayesian computation for Lorenz curves from grouped data2018

    • Author(s)
      Kobayashi Genya、Kakamu Kazuhiko
    • Journal Title

      Computational Statistics

      Volume: 34 Issue: 1 Pages: 253-279

    • DOI

      10.1007/s00180-018-0831-x

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-16K03592
  • [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
  • [Journal Article] Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles2016

    • Author(s)
      Genya Kobayashi
    • Journal Title

      Computational Statistics

      Volume: 31 Issue: 1 Pages: 49-88

    • DOI

      10.1007/s00180-015-0596-4

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15K17036
  • [Journal Article] Public health improvements and mortality in interwar Tokyo: A Bayesian disease mapping approach2016

    • Author(s)
      Kota Ogasawara, Shinichiro Shirota, Genya Kobayashi
    • Journal Title

      Cliometrica

      Volume: - Issue: 1 Pages: 1-31

    • DOI

      10.1007/s11698-016-0148-3

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15K17036, KAKENHI-PROJECT-16K17153
  • [Journal Article] Bayesian endogenous Tobit quantile regression2016

    • Author(s)
      Genya Kobayashi
    • Journal Title

      Bayesian Analysis

      Volume: TBA Issue: 1 Pages: 1-31

    • DOI

      10.1214/16-ba996

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15K17036
  • [Presentation] Clustering and predicting time series count data via mixture of Bayesian predictive synthesis2023

    • Author(s)
      小林弦矢
    • Organizer
      科研費シンポジウム「ベイズ統計学の最近の展開」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Clustering and Predicting Time Series Count Data via Mixture of Bayesian Predictive Syntheses_2023

    • Author(s)
      小林弦矢
    • Organizer
      2023年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Clustering and predicting time series count data via mixture of Bayesian predictive synthesis2023

    • Author(s)
      Genya Kobayashi
    • Organizer
      科研費シンポジウム「ベイズ統計学の最近の展開」
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K01421
  • [Presentation] Clustering and Predicting Time Series Count Data via Mixture of Bayesian Predictive Syntheses2023

    • Author(s)
      小林弦矢
    • Organizer
      2023年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K01421
  • [Presentation] Clustering and Predicting Time Series Count Data via Mixture of Bayesian Predictive Syntheses2023

    • Author(s)
      小林弦矢
    • Organizer
      2023年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Clustering and predicting time series count data via mixture of Bayesian predictive synthesis2022

    • Author(s)
      小林弦矢
    • Organizer
      研究集会「大規模データの公開におけるプライバシー保護の理論と応用」
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2022

    • Author(s)
      Kobayashi Genya
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Clustering and predicting time series count data via mixture of Bayesian predictive synthesis2022

    • Author(s)
      小林弦矢
    • Organizer
      研究集会「大規模データの公開におけるプライバシー保護の理論と応用」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Clustering and predicting time series count data via mixture of Bayesian predictive synthesis2022

    • Author(s)
      小林弦矢
    • Organizer
      科研費シンポジウム「ベイズ統計学の最近の展開」
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Bayesian factor zero-inflated Poisson model for multiple collapsed count data2022

    • Author(s)
      Genya Kobayashi
    • Organizer
      2022年統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K01421
  • [Presentation] Bayesian factor zero-inflated Poisson model for multpie collapsed count data2022

    • Author(s)
      小林弦矢
    • Organizer
      2022年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2022

    • Author(s)
      Genya Kobayashi
    • Organizer
      5th International Conference on Econometrics and Statistics
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K01421
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2022

    • Author(s)
      小林弦矢
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Bayesian factor zero-inflated Poisson model for multpie collapsed count data2022

    • Author(s)
      小林弦矢
    • Organizer
      2022年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2021

    • Author(s)
      Genya Kobayashi
    • Organizer
      XV World Conference of the Spatial Econometrics Association
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K01421
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2021

    • Author(s)
      小林弦矢
    • Organizer
      XV World Conference of the Spatial Econometrics Association
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2021

    • Author(s)
      小林弦矢
    • Organizer
      CSIS DAYS 2021
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2021

    • Author(s)
      小林弦矢
    • Organizer
      XV World Conference of the Spatial Econometrics Association
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2021

    • Author(s)
      Genya Kobayashi
    • Organizer
      CSIS DAYS 2021
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K01421
  • [Presentation] Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data2021

    • Author(s)
      小林弦矢
    • Organizer
      CSIS DAYS 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Bayesian approach to Lorenz curve using time series grouped data2019

    • Author(s)
      Genya Kobayashi
    • Organizer
      IISA 2019 Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12754
  • [Presentation] Estimation and inference for area-wise spatial income distributions from grouped data2019

    • Author(s)
      Genya Kobayashi
    • Organizer
      SAE 2019
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12754
  • [Presentation] Bayesian approach to Lorenz curve using time series grouped data2019

    • Author(s)
      Genya Kobayashi
    • Organizer
      Workshop on Bayesian Modelling of Income and Wealth
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12754
  • [Presentation] Flexible Bayesian quantile curve fitting with shape restrictions based on Gaussian process and generalised asymmetric Laplace distribution2018

    • Author(s)
      Genya Kobayashi
    • Organizer
      ISBA World Meeting 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12754
  • [Presentation] Flexible Bayesian quantile curve fitting with shape restrictions based on Gaussian process and generalised asymmetric Laplace distribution2018

    • Author(s)
      Genya Kobayashi
    • Organizer
      ISBA EAC 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12754
  • [Presentation] Shrinking semiparametric Bayesian quantile regression with transferring functions2018

    • Author(s)
      Genya Kobayashi
    • Organizer
      ベイズ計量経済分析研究集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K12754
  • [Presentation] Small area estimation for grouped data2017

    • Author(s)
      Yuki Kawakubo, Genya Kobayashi
    • Organizer
      Small Area Estimation 2017
    • Data Source
      KAKENHI-PROJECT-15K17036
  • [Presentation] Bayesian spectral analysis quantile regression models with shape restrictions2017

    • Author(s)
      Genya Kobayashi
    • Organizer
      1st International Conference on Econometrics and Statistics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K17036
  • [Presentation] Bayesian nonparametric instrumental variable regression approach to quantile inference2016

    • Author(s)
      Genya Kobayashi
    • Organizer
      Korean International Statistical Society
    • Place of Presentation
      Daejeon, South Korea
    • Year and Date
      2016-11-04
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K17036
  • [Presentation] Bayesian nonparametric instrumental variable regression approach to quantile inference2016

    • Author(s)
      Genya Kobayashi
    • Organizer
      The First Eastern Asian Meeting on Bayesian Statistics
    • Place of Presentation
      Jiao Tong University, Shanghai, China
    • Year and Date
      2016-12-18
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K17036
  • [Presentation] The impact of piped water on the mortality in inter-war Tokyo: Bayesian disease mapping approach2015

    • Author(s)
      Genya Kobayashi
    • Organizer
      Joint Statistical Meeting 2015
    • Place of Presentation
      Seattle Convention Centre, Seattle, USA
    • Year and Date
      2015-08-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K17036
  • [Presentation] Bayesian endogenous Tobit quantile regression2015

    • Author(s)
      Genya Kobayashi
    • Organizer
      The 9th International Conference on Computational and Financial Econometrics
    • Place of Presentation
      University of London, London, UK
    • Year and Date
      2015-12-13
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K17036
  • 1.  菅澤 翔之助 (50782380)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 0 results
  • 2.  川久保 友超 (80771881)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 3.  入江 薫 (20789169)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  各務 和彦 (00456005)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  古澄 英男 (10261273)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  西埜 晴久 (20305410)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  山内 雄太 (00914160)
    # 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
  • 9.  橋本 真太郎 (60772796)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  中川 智之 (70822526)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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