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Irie Kaoru  入江 薫

ORCIDConnect your ORCID iD *help
Researcher Number 20789169
Affiliation (Current) 2025: 東京大学, 大学院経済学研究科(経済学部), 准教授
Affiliation (based on the past Project Information) *help 2022 – 2024: 東京大学, 大学院経済学研究科(経済学部), 准教授
2016 – 2021: 東京大学, 大学院経済学研究科(経済学部), 講師
Review Section/Research Field
Principal Investigator
Basic Section 07030:Economic statistics-related / Statistical science
Except 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 / Medium-sized Section 7:Economics, business administration, and related fields / Economic statistics
Keywords
Principal Investigator
ベイズ統計学 / ロバスト統計 / 状態空間モデル / 計数データ / 分布論 / 確率論 / 行列分布 / 関数データ解析 / 統計数学 / 経済統計学 … More / 時系列分析 / 経済統計 / 縮小事前分布 / 逐次モンテカルロ法 / 時系列データ … More
Except Principal Investigator
ベイズ統計学 / 確率的ボラティリティ変動モデル / 高頻度データ / ボラティリティ / ポートフォリオ最適化 / 実現ボラティリティ / 確率的ボラティリティ / マルコフ連鎖モンテカルロ法 / ベイジアン・アプローチ / 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 / 統計的開示制限 / プライバシー / 統計的リスク / 統計的リスク分析 / マルコフ連鎖モンテカルロ法統 / 潜在変数 / 高次元データ / リスク管理 / 因子モデル / ランダム回答法 / 統計的リスク管理 / 長期記憶性 / マルコフスイッチング / 一般化双曲非対称t分布 / ベイズ推定 Less
  • Research Projects

    (7 results)
  • Research Products

    (108 results)
  • Co-Researchers

    (18 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
  •  ロバスト統計・縮小推定に有用な新しい確率分布族の研究Principal Investigator

    • Principal Investigator
      入江 薫
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      The University of Tokyo
  •  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
  •  New developments in high dimensional data modeling and statistical risk analysis

    • Principal Investigator
      Omori Yasuhiro
    • Project Period (FY)
      2019 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 7:Economics, business administration, and related fields
    • Research Institution
      The University of Tokyo
  •  Development of methods to assess anonymity of big microdata

    • Principal Investigator
      Hoshino Nobuaki
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Kanazawa University
  •  Scalable Bayesian analysis of high-dimensional streaming countsPrincipal Investigator

    • Principal Investigator
      Irie Kaoru
    • Project Period (FY)
      2017 – 2021
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Statistical science
    • Research Institution
      The University of Tokyo
  •  Bayesian modeling of multivariate economic and financial data and Probabilistic evaluation of policy and behavior

    • Principal Investigator
      Omori Yasuhiro
    • Project Period (FY)
      2014 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Economic statistics
    • Research Institution
      The University of Tokyo

All 2024 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

  • [Journal Article] Locally adaptive Bayesian isotonic regression using half shrinkage priors2023

    • Author(s)
      Okano Ryo、Hamura Yasuyuki、Irie Kaoru、Sugasawa Shonosuke
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: 51 Issue: 1 Pages: 109-141

    • DOI

      10.1111/sjos.12676

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions2023

    • Author(s)
      Hamura Yasuyuki、Irie Kaoru、Sugasawa Shonosuke
    • Journal Title

      Journal of Computational and Graphical Statistics

      Volume: - Issue: 2 Pages: 1-10

    • DOI

      10.1080/10618600.2023.2258186

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Log-regularly varying scale mixture of normals for robust regression.2022

    • Author(s)
      Hamura, Y., Irie, K., and Sugasawa, S.
    • Journal Title

      Computational Statistics and Data Analysis.

      Volume: 173

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Journal Article] Sequential modeling, monitoring and forecasting of streaming web traffic data.2022

    • Author(s)
      Irie, K., Glynn, C. and Aktekin, T.
    • Journal Title

      Annals of Applied Statistics

      Volume: 16 Pages: 300-325

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Journal Article] Score-adjusted methods for estimation of shape parameters in Gamma-Poisson and Beta-Binomial distributions.2022

    • Author(s)
      Tamae, H., Irie, K. and Kubokawa, T.
    • Journal Title

      Communication in Statistics - Simulation and Computation

      Volume: 印刷中 Issue: 3 Pages: 1247-1257

    • DOI

      10.1080/03610918.2022.2044051

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H00588, KAKENHI-PROJECT-23K20592
  • [Journal Article] Log-regularly varying scale mixture of normals for robust regression2022

    • Author(s)
      Hamura Yasuyuki, Irie Kaoru, Sugasawa Shonosuke
    • Journal Title

      Computational Statistics and Data Analysis

      Volume: 173 Pages: 107517-107517

    • DOI

      10.1016/j.csda.2022.107517

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-20J10427, KAKENHI-PROJECT-23K20592
  • [Journal Article] Sequential modeling, monitoring and forecasting of streaming web traffic data2022

    • Author(s)
      Irie, K., Glynn, C. and Aktekin, T.
    • Journal Title

      Annals of Applied Statistics

      Volume: 26 Pages: 300-325

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Journal Article] Score-adjusted methods for estimation of shape parameters in Gamma-Poisson and Beta-Binomial distributions2022

    • Author(s)
      Tamae, H., Irie, K. and Kubokawa, T.
    • Journal Title

      Communication in Statistics - Simulation and Computation

      Volume: To appear

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Journal Article] Sequential modeling, monitoring and forecasting of streaming web traffic data.2022

    • Author(s)
      Irie, K., Glynn, C. and Aktekin, T.
    • Journal Title

      Annals of Applied Statistics

      Volume: 16 Issue: 1 Pages: 300-325

    • DOI

      10.1214/21-aoas1505

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588, KAKENHI-PROJECT-23K20592
  • [Journal Article] Score-adjusted methods for estimation of shape parameters in Gamma-Poisson and Beta-Binomial distributions2022

    • Author(s)
      Tamae, H., Irie, K. and Kubokawa, T.
    • Journal Title

      Communication in Statistics - Simulation and Computation

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Journal Article] On global-local shrinkage for count data2022

    • Author(s)
      Hamura, Y., Irie, K., and Sugasawa, S.
    • Journal Title

      Bayesian Analysis

      Volume: To appear

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Journal Article] On data augmentation for models involving reciprocal gamma functions2022

    • Author(s)
      Hamura Yasuyuki, Irie Kaoru, Sugasawa Shonosuke
    • Journal Title

      Journal of Computational and Graphical Statistics

      Volume: - Issue: 3 Pages: 1-9

    • DOI

      10.1080/10618600.2022.2119988

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-18H00835, KAKENHI-PROJECT-20J10427, KAKENHI-PROJECT-23K20592, KAKENHI-PROJECT-19H00588
  • [Journal Article] Contributed discussion of: Multilevel linear models, Gibbs samplers and multigrid decompositions, by Zanella, G. and Roberts, G.2021

    • Author(s)
      Irie, K. and Sugasawa, S.
    • Journal Title

      Bayesian Analysis

      Volume: 16 Pages: 1378-1380

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Journal Article] On the relationship between beta-Bartlett and Uhlig extended processes2021

    • Author(s)
      Pena, V. and Irie, K.
    • Journal Title

      Journal of Time Series Analysis

      Volume: 43 Issue: 1 Pages: 147-153

    • DOI

      10.1111/jtsa.12595

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588, KAKENHI-PROJECT-23K20592
  • [Journal Article] Contributed discussion of: Multilevel linear models, Gibbs samplers and multigrid decompositions, by Zanella, G. and Roberts, G.2021

    • Author(s)
      Irie, K. and Sugasawa, S.
    • Journal Title

      Bayesian Analysis

      Volume: 16 Pages: 1378-1380

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Journal Article] Contributed discussion of: Multilevel linear models, Gibbs samplers and multigrid decompositions, by Zanella, G. and Roberts, G.2021

    • Author(s)
      Irie, K. and Sugasawa, S.
    • Journal Title

      Bayesian Analysis

      Volume: 16 Pages: 1378-1380

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Journal Article] On Global-Local Shrinkage Priors for Count Data2021

    • Author(s)
      Hamura Yasuyuki、Irie Kaoru、Sugasawa Shonosuke
    • Journal Title

      Bayesian Analysis

      Volume: -1 Issue: 2 Pages: 545-564

    • DOI

      10.1214/21-ba1263

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20J10427, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-19H00588, KAKENHI-PROJECT-23K20592
  • [Journal Article] On global-local shrinkage for count data2021

    • Author(s)
      Hamura, Y., Irie, K., and Sugasawa, S.
    • Journal Title

      Bayesian Analysis

      Volume: -

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Journal Article] On the relationship between beta-Bartlett and Uhlig extended processes2021

    • Author(s)
      Pena, V. and Irie, K.
    • Journal Title

      Journal of Time Series Analysis

      Volume: 43 Pages: 147-153

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Journal Article] On the relationship between beta-Bartlett and Uhlig extended processes2021

    • Author(s)
      Pena, V. and Irie, K.
    • Journal Title

      Journal of Time Series Analysis

      Volume: 43 Pages: 147-153

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] 一般化動的線形モデルによるライドシェアリング利用数データのリアルタイム分析2024

    • Author(s)
      入江薫・桝田陸・Tevfik Aktekin
    • Organizer
      RIMS共同研究「確率モデルと統計的推測」京都大学
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] 一般化動的線形モデルによるライドシェアリング利用数データのリアルタイム分析2024

    • Author(s)
      入江薫
    • Organizer
      RIMS共同研究「確率モデルと統計的推測」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 一般化動的線形モデルによるライドシェアリング利用数データのリアルタイム分析2024

    • Author(s)
      入江薫
    • Organizer
      RIMS共同研究「確率モデルと統計的推測」
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 行列GIG分布のためのギブスサンプラー2023

    • Author(s)
      入江薫
    • Organizer
      第17回日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions?A2023

    • Author(s)
      入江薫
    • Organizer
      シンポジウム「The philosophy of statistics and its applications」
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions2023

    • Author(s)
      入江薫
    • Organizer
      シンポジウム「The philosophy of statistics and its applications」
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] 逐次モンテカルロ法によるベイズ予測統合2023

    • Author(s)
      入江薫、桝田陸
    • Organizer
      科研費研究集会「ベイズモデリングの最近の展開」北海道大学
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused lasso2023

    • Author(s)
      入江薫
    • Organizer
      RIMS共同研究「種々の統計的モデルにおける推測方式の有効性」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Bayesian dynamic fused lasso2023

    • Author(s)
      入江薫
    • Organizer
      RIMS共同研究「種々の統計的モデルにおける推測方式の有効性」
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions2023

    • Author(s)
      Kaoru Irie
    • Organizer
      EcoSta 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 押さえておくべきMCMCのエッセンス2023

    • Author(s)
      入江薫
    • Organizer
      2023年度計量生物セミナー「ベイズ推測と臨床研究への応用」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 行列GIG分布のためのギブスサンプラー2023

    • Author(s)
      入江薫
    • Organizer
      第17回日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 逐次モンテカルロ法によるベイズ予測統合2023

    • Author(s)
      入江薫
    • Organizer
      科研費シンポジウム「ベイズモデリングの最近の展開」
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 外れ値と過剰なゼロを含む計数データの事後ロバスト分析2023

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「データサイエンスにおける統計的理論・方法論の新展開」
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 行列GIG分布のためのギブスサンプラー2023

    • Author(s)
      入江薫
    • Organizer
      第17回日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 外れ値と過剰なゼロを含む計数データの事後ロバスト分析2023

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「データサイエンスにおける統計的理論・方法論の新展開」
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 逐次モンテカルロ法によるベイズ予測統合2023

    • Author(s)
      入江薫
    • Organizer
      科研費シンポジウム「ベイズモデリングの最近の展開」
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions2023

    • Author(s)
      入江薫
    • Organizer
      シンポジウム「The philosophy of statistics and its applications」
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 行列GIG分布のためのギブスサンプラー2023

    • Author(s)
      入江薫
    • Organizer
      第17回日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused lasso2023

    • Author(s)
      入江薫
    • Organizer
      RIMS共同研究「種々の統計的モデルにおける推測方式の有効性」
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 押さえておくべきMCMCのエッセンス2023

    • Author(s)
      入江薫
    • Organizer
      2023年度計量生物セミナー「ベイズ推測と臨床研究への応用」
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions2023

    • Author(s)
      入江薫
    • Organizer
      EcoSta 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 外れ値と過剰なゼロを含む計数データの事後ロバスト分析2023

    • Author(s)
      入江薫・羽村靖之・菅澤翔之助
    • Organizer
      科研費研究集会「データサイエンスにおける統計的理論・方法論の新展開」九州大学
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions2023

    • Author(s)
      Kaoru Irie, Yasuyuki Hamura, Shonosuke Sugasawa
    • Organizer
      6th International Conference on Econometrics and Statistics (EcoSta2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] ガンマ分布の形状パラメータのベイズ推定2022

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「統計科学の開拓」
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Dynamic shrinkage by fused Markov processes2022

    • Author(s)
      入江薫
    • Organizer
      The 6th EAC-ISBA conference
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Dynamic shrinkage by fused Markov processes2022

    • Author(s)
      入江薫
    • Organizer
      The 6th EAC-ISBA conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 事後ロバスト性と対数正規変動分布2022

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「統計学の理論と応用のフロンティア」
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] 事後ロバスト性と対数正規変動分布2022

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「統計学の理論と応用のフロンティア」
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 事後ロバスト性と対数正規変動分布2022

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「統計学の理論と応用のフロンティア」
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused lasso2022

    • Author(s)
      入江薫
    • Organizer
      2022年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] Bayesian dynamic fused lasso2022

    • Author(s)
      入江薫
    • Organizer
      2022年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] ガンマ分布の形状パラメータのベイズ推定2022

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「統計科学の開拓」
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] Sequential forecasting for bursty count data2022

    • Author(s)
      Kaoru Irie
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused lasso2022

    • Author(s)
      入江薫
    • Organizer
      2022年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Dynamic shrinkage by fused Markov processes2022

    • Author(s)
      Kaoru Irie
    • Organizer
      The 6th EAC-ISBA conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] Bayesian dynamic fused lasso2022

    • Author(s)
      入江薫
    • Organizer
      2022年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] Dynamic shrinkage by fused Markov processes2022

    • Author(s)
      Kaoru Irie
    • Organizer
      The 6th EAC-ISBA conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Sequential forecasting for bursty count data2022

    • Author(s)
      Kaoru Irie
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] ガンマ分布の形状パラメータのベイズ推定2022

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「統計科学の開拓」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Sequential forecasting for bursty count data2022

    • Author(s)
      入江薫
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Sequential forecasting for bursty count data2022

    • Author(s)
      入江薫
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13374
  • [Presentation] Bayesian dynamic fused lasso2021

    • Author(s)
      入江薫
    • Organizer
      Bayesian Inference in Stochastic Processes 12 (BISP12)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Robust regression with log-regularly varying error distributions2021

    • Author(s)
      Kaoru Irie, Yasuyuki Hamura, Shonosuke Sugasawa
    • Organizer
      日本統計学会春季大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] On the conjugate multivariate stochastic volatility processes2021

    • Author(s)
      Kaoru Irie (Victor Pena)
    • Organizer
      The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Robust regression with log-regularly varying error distributions2021

    • Author(s)
      Kaoru Irie (Yasuyuki Hamura and Shonosuke Sugasawa)
    • Organizer
      Eastern Asia Chapter of the International Society for Bayesian Analysis (EAC-ISBA 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] On the conjugate multivariate stochastic volatility processes2021

    • Author(s)
      入江薫
    • Organizer
      The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Robust regression with log-regularly varying error distributions2021

    • Author(s)
      入江薫
    • Organizer
      Eastern Asia Chapter of the International Society for Bayesian Analysis (EAC-ISBA 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 単調回帰のための事前分布2021

    • Author(s)
      入江薫(岡野遼、羽村靖之、菅澤翔之助)
    • Organizer
      2021年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] On the conjugate multivariate stochastic volatility processes2021

    • Author(s)
      Kaoru Irie (Victor Pena)
    • Organizer
      The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Robust regression with log-regularly varying error distributions2021

    • Author(s)
      Kaoru Irie, Yasuyuki Hamura, Shonosuke Sugasawa
    • Organizer
      日本統計学会春季大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] 単調回帰のための事前分布2021

    • Author(s)
      入江薫(岡野遼、羽村靖之、菅澤翔之助)
    • Organizer
      2021年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Bayesian dynamic fused lasso2021

    • Author(s)
      Kaoru Irie
    • Organizer
      Bayesian Inference in Stochastic Processes 12 (BISP12)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] 単調回帰のための事前分布2021

    • Author(s)
      入江薫(岡野遼、羽村靖之、菅澤翔之助)
    • Organizer
      2021年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Robust regression with log-regularly varying error distributions2021

    • Author(s)
      Kaoru Irie (Yasuyuki Hamura and Shonosuke Sugasawa)
    • Organizer
      Eastern Asia Chapter of the International Society for Bayesian Analysis (EAC-ISBA 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused lasso2021

    • Author(s)
      Kaoru Irie
    • Organizer
      Bayesian Inference in Stochastic Processes 12 (BISP12)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Robust regression with log-regularly varying error distributions2021

    • Author(s)
      Kaoru Irie
    • Organizer
      日本統計学会春季大会
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Robust regression with log-regularly varying error distributions2021

    • Author(s)
      Kaoru Irie (Yasuyuki Hamura and Shonosuke Sugasawa)
    • Organizer
      Eastern Asia Chapter of the International Society for Bayesian Analysis (EAC-ISBA 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] Bayesian dynamic fused lasso2021

    • Author(s)
      Kaoru Irie
    • Organizer
      Bayesian Inference in Stochastic Processes 12 (BISP12)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] On the conjugate multivariate stochastic volatility processes2021

    • Author(s)
      Kaoru Irie (Victor Pena)
    • Organizer
      The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] 単調回帰のための事前分布2021

    • Author(s)
      入江薫
    • Organizer
      2021年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] On the conjugate multivariate stochastic volatility processes2020

    • Author(s)
      Kaoru Irie, Victor Pena
    • Organizer
      Webinar of Bayesian Econometrics 2020
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00835
  • [Presentation] On the conjugate multivariate stochastic volatility processes2020

    • Author(s)
      Kaoru Irie, Victor Pena
    • Organizer
      Webinar of Bayesian Econometrics 2020
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] On the conjugate multivariate stochastic volatility processes2020

    • Author(s)
      Kaoru Irie
    • Organizer
      Webinar of Bayesian Econometrics 2020
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] 繰り返し対数関数を用いた縮小事前分布のクラスについて2019

    • Author(s)
      入江 薫
    • Organizer
      科研費研究集会「ベイズ計量経済学研究集会」
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] 繰り返し対数関数を用いた縮小事前分布のクラスについて2019

    • Author(s)
      入江薫、羽村靖之、菅澤翔之助
    • Organizer
      科研費研究集会「ベイズ計量経済学研究集会」
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused LASSO2019

    • Author(s)
      Kaoru Irie
    • Organizer
      Japanese Joint Statistical Meeting (日本統計関連学会連合大会)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Bayesian dynamic fused LASSO2019

    • Author(s)
      入江薫
    • Organizer
      13th International Conference on Computational and Financial Econometrics (CFE2019)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused LASSO2019

    • Author(s)
      Kaoru Irie
    • Organizer
      EAC-ISBA 2019 (The 4th Eastern Asia meeting on Bayesian Statistics)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Bayesian dynamic fused LASSO2019

    • Author(s)
      入江薫
    • Organizer
      日本統計関連学会連合大会
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00588
  • [Presentation] Bayesian dynamic fused LASSO2019

    • Author(s)
      Kaoru Irie
    • Organizer
      CFE 2019 (The 13th International Conference on Computational and Financial Econometrics)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] 縮小事前分布と状態空間モデル2019

    • Author(s)
      入江 薫
    • Organizer
      科研費シンポジウム「多様な分野における統計科学に関する諸問題」
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Filtering for stochastic volatility models with leverage by mixture approximation2018

    • Author(s)
      Kaoru Irie, Naoki Awaya and Yasuhiro Omori
    • Organizer
      12th International Conference on Computational and Financial Econometrics (CFE2018)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26245028
  • [Presentation] Adaptive Monitoring of Steaming Counts by Poisson-gamma State Space Models2018

    • Author(s)
      Kaoru Irie
    • Organizer
      International Society of Bayesian Analysis, world meeting (ISBA2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] 割引因子ポアソン-ガンマ状態空間モデルによる計数時系列モデルの逐次分析2018

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「融合する統計科学」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] 状態空間モデルにおけるスパース性2018

    • Author(s)
      入江薫
    • Organizer
      科研費研究集会「ベイズ計量経済分析研究集会」
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] On-line analysis of count-valued time series by dynamic discount factors2018

    • Author(s)
      Kaoru Irie
    • Organizer
      2018年度統計関連学会連合大会
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Filtering for stochastic volatility with leverage by mixture approximation2018

    • Author(s)
      Kaoru Irie
    • Organizer
      The 12th International Conference on Computational and Financial Econometrics (CFE 2018)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Bayesian Emulation for Multi-Step Optimization in Portfolio Decisions2017

    • Author(s)
      Kaoru Irie
    • Organizer
      The Third International Conference on Engineering and Computational Mathematics (ECM2017)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Bayesian Emulation for Multi-Step Optimization in Portfolio Decisions2017

    • Author(s)
      入江薫
    • Organizer
      The Third International Conference on Engineering and Computational Mathematics (ECM2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26245028
  • [Presentation] Bayesian Emulation for High-Dimensional Portfolio Problems2017

    • Author(s)
      Kaoru Irie
    • Organizer
      The 1st International Conference on Econometrics and Statistics (EcoSta 2017)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] ベイジアン・モデリングによるポートフォリオ最適化2017

    • Author(s)
      入江薫
    • Organizer
      2017年度 統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-26245028
  • [Presentation] ベイジアン・モデリングによるポートフォリオ最適化2017

    • Author(s)
      入江 薫
    • Organizer
      2017年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Scalable Bayesian modeling, monitoring and analysis of dynamic network flow data2017

    • Author(s)
      Kaoru Irie
    • Organizer
      International Workshop on Bayesian Econometric Analysis
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Fox News Network Data Analysis: Bayesian Dynamic Modeling2017

    • Author(s)
      Kaoru Irie
    • Organizer
      2017 CSA-KSS-JSS International Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17659
  • [Presentation] Bayesian Emulation for High-Dimensional Portfolio Problems2017

    • Author(s)
      入江薫
    • Organizer
      1st International Conference on Econometrics and Statistics (EcoSta2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26245028
  • [Presentation] Scalable Bayesian modeling, monitoring and analysis of dynamic network flow data2017

    • Author(s)
      入江薫
    • Organizer
      International Workshop on Bayesian Econometric Analysis
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26245028
  • [Presentation] Bayesian emulation for optimization: Multi-step portfolio decision analysis2016

    • Author(s)
      入江薫
    • Organizer
      10th International Conference on Computational and Financial Econometrics (CFE2016)
    • Place of Presentation
      University of Seville (スペイン、セビリア)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26245028
  • 1.  Omori Yasuhiro (60251188)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 2.  黒瀬 雄大 (20713910)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 3.  高橋 慎 (20723852)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  國濱 剛 (40779716)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 5.  渡部 敏明 (90254135)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 6.  石原 庸博 (60609072)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 7.  山内 雄太 (00914160)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 8.  小林 弦矢 (00725103)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 9.  菅澤 翔之助 (50782380)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 10.  Hoshino Nobuaki (00313627)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  菅原 慎矢 (30711379)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  間野 修平 (20372948)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  佐井 至道 (30186910)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  丸山 祐造 (30304728)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  川久保 友超 (80771881)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  城田 慎一郎 (90845918)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 17.  橋本 真太郎 (60772796)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 18.  中川 智之 (70822526)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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