Hirose Kei 廣瀬慧

… Alternative Names

HIROSE Kei 廣瀬慧

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Researcher Number	40609806
Affiliation (Current)	2025: 九州大学, マス・フォア・インダストリ研究所, 教授
Affiliation (based on the past Project Information) *help	2022 – 2025: 九州大学, マス・フォア・インダストリ研究所, 教授 2016 – 2021: 九州大学, マス・フォア・インダストリ研究所, 准教授 2012 – 2015: 大阪大学, 基礎工学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related / Transformative Research Areas, Section (II) / Statistical science / Statistical science Except Principal Investigator Statistical science / Basic Section 07030:Economic statistics-related / Basic Section 12040:Applied mathematics and statistics-related / Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords	Principal Investigator 因子分析 / 因子分析モデル / スパース推定 / 欠測データ解析 / 高次元時系列データ解析 / グレブナー基底 / 不適解 / 特異点論 / 計算機代数 / 合計値予測 … More / 正準判別 / 予測モデル / 予測モデリング / Generalized Lasso / 多変量解析 / 交差検証法 / クロスバリデーション / クラスタリング / グラフィカルモデル / 因子回帰 / 因子回転 / 正則化法 / ロバスト推定 / Prenet正則化 / スパース正則化 / 線形回帰モデル / lasso / 非凸ペナルティ / 因子回帰モデル / モデル選択 / L1正則化 … More Except Principal Investigator 欠測メカニズム / 推定方程式の不偏性 / 補助変数 / MLEのバイアス / セミパラメトリック法 / NMAR / NMARness / APB / アンサンブル学習 / スパース推定 / 空室率予測 / 不動産 / 機械学習 / 空き家 / 住宅政策 / 空室率 / 共同住宅 / 不動産市場 / 非正規分布 / 統計的漸近理論 / 極限定理 / レヴィノイズ / 確率過程の統計学 / 4次元変分法 / データ同化 / Ginzburg-Landau方程式 / 代替関数 / サロゲートモデル / サンプリング / モデリング / 情報統計 / 地震 / マイクロアレイ / ゲノム / 統計数学 / データサイエンス / 高次元データ / MAR / 推定量のバイアス / 統計的因果推論 / 多重代入法 / 対数正規モデル / 脱落 / モデルの識別性 / 双方向因果モデル / バイアス / shared-parameter model / 無視不可能な欠測 / 情報量不等式 / MAR条件の緩和 / 大量欠損 / 代替特性 / NMAR missing / 傾向スコア / 最尤法 / sarrogate endpoint / bias of the MLE / Missing at random Less

Mathematical properties of maximum likelihood estimators in factor analysis models via computational algebra and geometry.Principal Investigator
- Principal Investigator
  
  廣瀬慧
- Project Period (FY)
  2023 – 2024
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Kyushu University
Mathematical Foundation for Seismic Modeling Pioneered by Information Statistics
- Principal Investigator
  
  長尾大道
- Project Period (FY)
  2023 – 2027
- 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
Development of Vacancy Rate Prediction Methods for Apartments with Prediction Accuracy and Interpretability
- Principal Investigator
  
  本橋永至
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 07030:Economic statistics-related
- Research Institution
  Yokohama National University
Sparse factor analysis in high-dimensional time series and its application to energy sciencePrincipal Investigator
- Principal Investigator
  
  廣瀬慧
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Kyushu University
Deepening and developing statistical theory for dependent data based on Levy noise
- Principal Investigator
  
  増田弘毅
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  The University of Tokyo
  Kyushu University
Cluster analysis for grouping statistical models and its applicationPrincipal Investigator
- Principal Investigator
  
  Hirose Kei
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Kyushu University
How serious is nonignorable missingness?
- Principal Investigator
  
  Kano Yutaka
- Project Period (FY)
  2016 – 2017
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Exploratory structural equation modeling via sparse regularizationPrincipal Investigator
- Principal Investigator
  
  Hirose Kei
- Project Period (FY)
  2015 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Kyushu University
  Osaka University
Theories and Methodologies for Large Complex Data
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2015 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
New developments of missing data analysis: NMARness and APB
- Principal Investigator
  
  Yutaka Kano
- Project Period (FY)
  2013 – 2015
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Sparse estimation via regularization and its application to ultra high-dimensional dataPrincipal Investigator
- Principal Investigator
  
  HIROSE Kei
- Project Period (FY)
  2012 – 2014
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Osaka University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 Other

All Journal Article Presentation Book

[Book] スパース推定法による統計モデリング2018
- Author(s)
  川野秀一、松井秀俊、廣瀬慧
- Total Pages
  168
- Publisher
  共立出版
- ISBN
  9784320112575
- Data Source
  KAKENHI-PROJECT-15H01678
[Book] スパース推定法による統計モデリング2018
- Author(s)
  川野秀一，松井秀俊，廣瀬慧
- Total Pages
  168
- Publisher
  共立出版
- ISBN
  9784320112575
- Data Source
  KAKENHI-PROJECT-15K15949
[Journal Article] Fast same-step forecast in SUTSE model and its theoretical properties2024
- Author(s)
  Yoshida Wataru、Hirose Kei
- Journal Title
  
  Computational Statistics & Data Analysis
  
  Volume: 190 Pages: 107861-107861
- DOI
  10.1016/j.csda.2023.107861
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22KJ2458, KAKENHI-PROJECT-23K11007, KAKENHI-PROJECT-23H00466, KAKENHI-PROJECT-23K22410
[Journal Article] Time Series Analysis under Not Missing at Random2024
- Author(s)
  馬場由羽貴、廣瀬慧
- Journal Title
  
  Journal of the Japan Statistical Society, Japanese Issue
  
  Volume: 53 Issue: 2 Pages: 275-296
- DOI
  10.11329/jjssj.53.275
- ISSN
  0389-5602, 2189-1478
- Year and Date
  2024-02-27
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K11007, KAKENHI-PROJECT-23H00466, KAKENHI-PROJECT-23K22410
[Journal Article] Sparse and Simple Structure Estimation via Prenet Penalization2022
- Author(s)
  Hirose Kei、Terada Yoshikazu
- Journal Title
  
  Psychometrika
  
  Volume: 1 Issue: 4 Pages: 1-26
- DOI
  10.1007/s11336-022-09868-4
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19756, KAKENHI-PROJECT-23K22410
[Journal Article] Interpretable Modeling for Short- and Medium-Term Electricity Demand Forecasting2021
- Author(s)
  Hirose Kei
- Journal Title
  
  Frontiers in Energy Research
  
  Volume: 9
- DOI
  10.3389/fenrg.2021.724780
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] Sparse multivariate regression with missing values and its application to the prediction of material properties2021
- Author(s)
  Teramoto Keisuke、Hirose Kei
- Journal Title
  
  International Journal for Numerical Methods in Engineering
  
  Volume: 123 Issue: 2 Pages: 530-546
- DOI
  10.1002/nme.6867
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] Relationship between gene regulation network structure and prediction accuracy in high dimensional regression2021
- Author(s)
  Okinaga Yuichi、Kyogoku Daisuke、Kondo Satoshi、Nagano Atsushi J.、Hirose Kei
- Journal Title
  
  Scientific Reports
  
  Volume: 11 Issue: 1
- DOI
  10.1038/s41598-021-90791-6
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] Sparse multivariate regression with missing values and its application to the prediction of material properties2021
- Author(s)
  Keisuke Teramoto, Kei Hirose
- Journal Title
  
  arXiv
  
  Volume: arXiv:2103.09619 Pages: 1-18
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] Effects of underlying gene-regulation network structure on prediction accuracy in high-dimensional regression2020
- Author(s)
  Okinaga Yuichi、Kyogoku Daisuke、Kondo Satoshi、Nagano Atsushi J.、Hirose Kei
- Journal Title
  
  bioRxiv
  
  Volume: なし Pages: 1-12
- DOI
  10.1101/2020.09.11.293456
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] Interpretable modeling for short- and medium-term electricity load forecasting2020
- Author(s)
  Kei Hirose
- Journal Title
  
  arXiv
  
  Volume: arXiv:2006.01002 Pages: 1-29
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] 因子分析モデルにおける構造正則化2020
- Author(s)
  廣瀬慧
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2133 Pages: 1-10
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] L1正則化法に基づく因子分析および構造方程式モデリングの最近の展開2020
- Author(s)
  廣瀬慧
- Journal Title
  
  計算機統計学
  
  Volume: －
- NAID
  130007877407
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] Event Effects Estimation on Electricity Demand Forecasting2020
- Author(s)
  Hirose Kei、Wada Keigo、Hori Maiya、Taniguchi Rin-ichiro
- Journal Title
  
  Energies
  
  Volume: 13 Issue: 21 Pages: 5839-5839
- DOI
  10.3390/en13215839
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K11862
[Journal Article] L1正則化法に基づく因子分析および構造方程式モデリングの最近の展開2020
- Author(s)
  廣瀬慧
- Journal Title
  
  計算機統計学
  
  Volume: －
- NAID
  130007877407
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] 因子分析モデルにおける構造正則化2019
- Author(s)
  廣瀬慧
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2133 Pages: 1-10
- Open Access
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] Robust Relative Error Estimation2018
- Author(s)
  Hirose Kei、Masuda Hiroki
- Journal Title
  
  Entropy
  
  Volume: 20 Issue: 9 Pages: 632-632
- DOI
  10.3390/e20090632
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H02670, KAKENHI-PROJECT-15K15949
[Journal Article] An Interpersonal Sentiment Quantification Method Applied to Work Relationship Prediction2017
- Author(s)
  Imada, M., Hirose, K., Yoshida, M., Sunyong, K., Toyozumi, N., Lopez, G. and Kano, Y.
- Journal Title
  
  NTT Technical Review
  
  Volume: 15 Pages: 1-15
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15K15949
[Journal Article] Graphical tool of sparse factor analysis2017
- Author(s)
  Yamamoto, M., Hirose, K., Nagata, H.
- Journal Title
  
  Behaviormetrika
  
  Volume: 44 Issue: 1 Pages: 229-250
- DOI
  10.1007/s41237-016-0007-3
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-26730016, KAKENHI-PROJECT-15K15949
[Journal Article] Robust sparse Gaussian graphical modeling2017
- Author(s)
  Hirose Kei、Fujisawa Hironori、Sese Jun
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 161 Pages: 172-190
- DOI
  10.1016/j.jmva.2017.07.012
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K00065, KAKENHI-PROJECT-15K15949
[Journal Article] Readouts for echo-state networks built using locally regularized orthogonal forward regression2016
- Author(s)
  Jan Dolinsky, D., Hirose, K. and Konishi, S.
- Journal Title
  
  Journal of Applied Statistics (Published online)
  
  Volume: 1 Issue: 4 Pages: 1-24
- DOI
  10.1080/02664763.2017.1305331
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26240003, KAKENHI-PROJECT-16K00057, KAKENHI-PROJECT-15K15949
[Journal Article] スパースモデリングとモデル選択2016
- Author(s)
  廣瀬慧
- Journal Title
  
  電子情報通信学会誌
  
  Volume: 99
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-15K15949
[Journal Article] Sparse factor regression via penalized maximum likelihood estimation2016
- Author(s)
  Hirose, K. and Imada, M.
- Journal Title
  
  Statistical Papers
  
  Volume: 印刷中 Issue: 2 Pages: 633-662
- DOI
  10.1007/s00362-016-0781-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-15K15949
[Journal Article] Estimating Scale-Free Networks via the Exponentiation of Minimax Concave Penalty2015
- Author(s)
  Kei Hirose, Yukihiro Ogura and Hidetoshi Shimodaira.
- Journal Title
  
  Journal of the Japanese Society of Computational Statistics
  
  Volume: 28
- NAID
  130005434003
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15K15949
[Journal Article] Full information maximum likelihood estimation in factor analysis with a lot of missing values2015
- Author(s)
  Hirose, K., Kim, S., Kano, Y., Imada, M., Yoshida, M. and Matsuo, M.
- Journal Title
  
  Journal of Statistical Computation and Simulation
  
  Volume: 印刷中 Issue: 1 Pages: 91-104
- DOI
  10.1080/00949655.2014.995656
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700277, KAKENHI-PROJECT-25540011
[Journal Article] Sparse estimation via nonconcave penalized likelihood in a factor analysis model2014
- Author(s)
  Hirose, K. and Yamamoto, M.
- Journal Title
  
  Statistics and Computing
  
  Volume: 印刷中
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700277
[Journal Article] Estimation of an oblique structure via penalized likelihood factor analysis2014
- Author(s)
  Hirose, K. and Yamamoto, M.
- Journal Title
  
  Computational Statistics & Data Analysis
  
  Volume: 79 Pages: 120-132
- DOI
  10.1016/j.csda.2014.05.011
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700277, KAKENHI-PROJECT-26730016
[Journal Article] Lassoタイプの正則化法に基づくスパース推定法を用いた超高次元データ解析2014
- Author(s)
  廣瀬慧
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 印刷中
- Data Source
  KAKENHI-PROJECT-24700277
[Journal Article] Tuning parameter selection in sparse regression modeling2013
- Author(s)
  Hirose, K., Tateishi, S. and Konishi, S.
- Journal Title
  
  Computational Statistics and Data Analysis
  
  Volume: 59 Pages: 28-40
- DOI
  10.1016/j.csda.2012.10.005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23650146, KAKENHI-PROJECT-24700277
[Journal Article] NNRMLR: A Combined Method of Nearest Neighbor Regression and Multiple Linear Regression2012
- Author(s)
  Hirose, H., Soejima, Y. and Hirose, K.
- Journal Title
  
  Proceedings of 6th International Workshop on e-Activity
  
  Volume: - Pages: 351-356
- DOI
  10.1109/iiai-aai.2012.76
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700277
[Journal Article] Creating facial animation of characters via MoCap data2012
- Author(s)
  Hirose, K., and Higuchi, T.
- Journal Title
  
  Journal of Applied Statistics
  
  Volume: 39 Issue: 12 Pages: 2583-2597
- DOI
  10.1080/02664763.2012.724391
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] スパースペナルティを用いたバイクラスタリング2023
- Author(s)
  王際強, 廣瀬慧
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] 統計的ダイバージェンスを応用した高次元線形回帰モデルに対する正則化パラメータの頑健な選択について2023
- Author(s)
  倉田澄人, 廣瀬慧
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] スパース動的回帰モデルによる複数時刻の時系列分析2023
- Author(s)
  吉田航, 廣瀬慧
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] An algebraic approach to factor analysis.2023
- Author(s)
  Fukasaku, R., Hirose, K., Kabata, Y., Teramoto, K.
- Organizer
  10th International Congress on Industrial and Applied Mathematics（ICIAM 2023 TOKYO）.
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] スパースペナルティを用いたバイクラスタリング2023
- Author(s)
  王際強, 廣瀬慧
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] スパースペナルティを用いたバイクラスタリング2023
- Author(s)
  王際強, 廣瀬慧
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] Factor analysis and its application to energy data analysis2023
- Author(s)
  Hirose, K.
- Organizer
  Mathematical Research in Energy Systems I 2 CNER-IMI Joint International Workshop.
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] 合計値回帰モデルにおけるクラスタリングによる二重降下現象と電力需要量予測への応用2023
- Author(s)
  廣瀬慧, 増田弘毅, 松井秀俊
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] 計算機代数に基づく因子分析の最尤推定2023
- Author(s)
  深作亮也, 廣瀬慧, 加葉田雄太朗, 寺本圭佑
- Organizer
  日本計算機統計学会第37回大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Statistical modeling for electricity demand forecasting.2023
- Author(s)
  Hirose, K
- Organizer
  The Fifth Workshop on Interdisciplinary Sciences (WIS 2023)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] Factor analysis and its application to energy data analysis.2023
- Author(s)
  Hirose, K
- Organizer
  Mathematical Research in Energy Systems I 2 CNER-IMI Joint International Workshop
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] 統計的ダイバージェンスを応用した高次元線形回帰モデルに対する正則化パラメータの頑健な選択について2023
- Author(s)
  倉田澄人, 廣瀬慧
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] Factor analysis and its application to energy data analysis2023
- Author(s)
  Kei Hirose
- Organizer
  Mathematical Research in Energy Systems I 2 CNER-IMI Joint International Workshop.
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] Statistical modeling for electricity demand forecasting2023
- Author(s)
  Kei Hirose
- Organizer
  The Fifth Workshop on Interdisciplinary Sciences (WIS 2023)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] Statistical modeling for electricity demand forecasting2023
- Author(s)
  Hirose, K.
- Organizer
  The Fifth Workshop on Interdisciplinary Sciences (WIS 2023)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] 統計的ダイバージェンスを応用した高次元線形回帰モデルに対する正則化パラメータの頑健な選択について2023
- Author(s)
  倉田澄人, 廣瀬慧
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] 計算機代数に基づく因子分析の最尤推定2023
- Author(s)
  深作亮也，廣瀬慧，加葉田雄太朗，寺本圭佑
- Organizer
  日本計算機統計学会第37回大会
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] スパース動的回帰モデルによる複数時刻の時系列分析2023
- Author(s)
  吉田航, 廣瀬慧
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] スパース動的回帰モデルによる複数時刻の時系列分析2023
- Author(s)
  吉田航, 廣瀬慧
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] 合計値回帰モデルにおけるクラスタリングによる二重降下現象と電力需要量予測への応用2023
- Author(s)
  廣瀬慧, 増田弘毅, 松井秀俊
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23H00466
[Presentation] 計算機代数に基づく因子分析の最尤推定2023
- Author(s)
  深作亮也，廣瀬慧，加葉田雄太朗，寺本圭佑
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] 合計値回帰モデルにおけるクラスタリングによる二重降下現象と電力需要量予測への応用2023
- Author(s)
  廣瀬慧, 増田弘毅, 松井秀俊
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] Aggregation value regression and its application to household demand forecasting2023
- Author(s)
  Hirose, K., Masuda, H., Matsui, H
- Organizer
  10th International Congress on Industrial and Applied Mathematics（ICIAM 2023 TOKYO）
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11007
[Presentation] Sparse multivariate regression with missing values and its application to material properties prediction2022
- Author(s)
  Hirose, K., and Teramoto, K.
- Organizer
  IASC-ARS2022 (The 11th Conference of the IASC-ARS)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K11862
[Presentation] Penalized likelihood factor analysis2022
- Author(s)
  Hirose Kei
- Organizer
  The 51st Scientific Meeting of the Italian Statistical Society
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K22410
[Presentation] 回帰モデルの合計値予測とクラスタリング2021
- Author(s)
  廣瀬慧、増田弘毅
- Organizer
  2021年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11862
[Presentation] クロスバリデーションに基づく正準判別のクラスタリングとその高速化2021
- Author(s)
  三浦完太, 廣瀬慧
- Organizer
  2021年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11862
[Presentation] Hierarchical multiclass discriminant analysis via cross-validation2021
- Author(s)
  Hirose, K., and Miura, K.
- Organizer
  The 4th International Conference on Econometrics and Statistics (EcoSta 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K11862
[Presentation] 電力需要予測のための統計モデルとソフトウェア2020
- Author(s)
  廣瀬慧
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11862
[Presentation] Cluster-based multiclass linear discriminant analysis2019
- Author(s)
  Kei Hirose, Kanta Miura and Atori Koie
- Organizer
  The 3rd International Conference on Econometrics and Statistics (EcoSta 2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] 電力需要の短期予測のための統計モデリング2019
- Author(s)
  廣瀬慧，増田弘毅
- Organizer
  ２０１９年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11862
[Presentation] Cluster-based multiclass linear discriminant analysis2019
- Author(s)
  K. Hirose, K. Miura, A. Koie
- Organizer
  The 3rd International Conference on Econometrics and Statistics (EcoSta 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K11862
[Presentation] 電力需要の短期予測のための統計モデリング2019
- Author(s)
  廣瀬慧、増田弘毅
- Organizer
  ２０１９年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Cluster-based multiclass linear discriminant analysis2019
- Author(s)
  Hirose Kei、Miura Kanta、Koie Atori
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Prenet Penalization in Factor Analysis and its Applications2018
- Author(s)
  Kei Hirose and Yoshikazu Terada
- Organizer
  International Conference on Advances in Interdisciplinary Statistics and Combina
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] 因子分析における単純構造推定のための正則化法とその応用2018
- Author(s)
  廣瀬慧，寺田吉壱
- Organizer
  日本行動計量学会第46回大会
- Invited
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Simple structure estimation via prenet penalization in factor analysis model2018
- Author(s)
  Kei Hirose and Yoshikazu Terada
- Organizer
  The 2nd International Conference on Econometrics and Statistics (EcoSta 2018)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Prenet正則化法による単純構造推定2018
- Author(s)
  廣瀬慧
- Organizer
  日本地球惑星科学連合2018年大会
- Invited
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] 相対誤差に基づく回帰モデルのロバスト推定2018
- Author(s)
  廣瀬慧，増田弘毅
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] 電力取引市場における電力調達の最適化2017
- Author(s)
  山口尚哉，廣瀬慧，堀磨伊也，出口喜也
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] 因子分析における単純構造推定のための正則化法2017
- Author(s)
  廣瀬慧，寺田吉壱
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Perfect simple structure estimation via extension of quartimin criterion.2017
- Author(s)
  Hirose, K.
- Organizer
  Conference of the International Federation of Classification Societies (IFCS 2017)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] 群の数が多い場合における多群線形判別2017
- Author(s)
  小家亜斗吏，廣瀬慧
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Robust estimation for high-dimensional Gaussian graphical models.2017
- Author(s)
  Hirose, K., Fujisawa, H.
- Organizer
  The 1st International Conference on Econometrics and Statistics (EcoSta 2017)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Estimation of well-clustered structure via penalized maximum likelihood method in factor analysis model2017
- Author(s)
  Hirose, K., and Terada, Y.
- Organizer
  10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Sparse factor model via regularization and its extension to regression analysis.2016
- Author(s)
  Kei Hirose
- Organizer
  日本計算機統計学会第30回大会
- Place of Presentation
  ハートピア京都
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] スパース推定法による高次元データ解析2016
- Author(s)
  廣瀬慧
- Organizer
  統計科学研究会
- Place of Presentation
  九州大学伊都キャンパス
- Invited
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Robust estimation for sparse Gaussian graphical model2016
- Author(s)
  Kei Hirose
- Organizer
  International Conference on Statistical Distributions and Applications ICOSDA 2016
- Place of Presentation
  Crowne Plaza, Niagara Falls, Canada
- Year and Date
  2016-10-14
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] ロバストかつスパースなガウシアングラフィカルモデリングと遺伝子データへの応用2016
- Author(s)
  廣瀬慧，藤澤洋徳
- Organizer
  統計関連学会連合大会
- Place of Presentation
  金沢大学
- Year and Date
  2016-09-06
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Rパッケージ fanc --グラフィカルツールを用いた新たな因子分析--．2016
- Author(s)
  廣瀬慧
- Organizer
  数学協働プログラム「確率的グラフィカルモデルの産業界への応用」
- Place of Presentation
  慶應義塾大学日吉キャンパス
- Year and Date
  2016-11-10
- Invited
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Robust Estimation for Sparse Gaussian Graphical Modeling2016
- Author(s)
  Kei Hirose
- Organizer
  The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM)
- Place of Presentation
  The Chinese University of Hong Kong, Hong Kong
- Year and Date
  2016-06-27
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Robust estimation for sparse Gaussian graphical model2016
- Author(s)
  Kei Hirose and Hironori Fujisawa
- Organizer
  International Conference on Statistical Distributions and Applications (ICOSDA)
- Place of Presentation
  Crowne Plaza, Niagara Falls, Canada
- Year and Date
  2016-10-14
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Estimation of Scale-Free Networks with the Exponentiation of Minimax Concave Penalty2015
- Author(s)
  Kei Hirose
- Organizer
  The 9th Conference of the Asian Regional Section of the IASC (IASC-ARS 2015)
- Place of Presentation
  National University of Singapore
- Year and Date
  2015-12-17
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] 正則化法に基づくスパース因子分析2015
- Author(s)
  廣瀬慧
- Organizer
  日本オペレーションズ・リサーチ学会 2015年秋季研究発表会
- Place of Presentation
  九州工業大学
- Year and Date
  2015-09-09
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] An extension of factor rotation via the penalized maximum likelihood estimation2015
- Author(s)
  Kei Hirose and Michio Yamamoto
- Organizer
  2015年度統計関連学会連合大会
- Place of Presentation
  岡山大学
- Year and Date
  2015-09-06
- Data Source
  KAKENHI-PROJECT-15K15949
[Presentation] Lasso-type penalized maximum likelihood factor analysis via nonconvex penalties.2014
- Author(s)
  Hirose, K., and Yamamoto, M.
- Organizer
  The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting (APRM 2014)
- Place of Presentation
  Howard International House, Taipei, Taiwan
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] 正則化スパース因子分析は因子回転に取って代わるのか？2014
- Author(s)
  廣瀬慧，山本倫生
- Organizer
  2014年度統計関連学会連合大会
- Place of Presentation
  東京大学本郷キャンパス（東京都文京区）
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] Tuning parameter selection in sparse regression modeling2012
- Author(s)
  Hirose, K., Tateishi, S. and Konishi, S.
- Organizer
  The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting (APRM 2012)
- Place of Presentation
  Tsukuba International Congress Center, Japan
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] Rパッケージ "fanc": L1型正則化法に基づく因子分析モデルのスパース推定とその可視化
- Author(s)
  廣瀬慧，山本倫生，永田晴久
- Organizer
  日本計算機統計学会第27回シンポジウム
- Place of Presentation
  市民会館崇城大学ホール（熊本県熊本市中央区）
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] Regularization Parameter Selection in Convex and Non-Convex Penalized Least Squares Estimation
- Author(s)
  Hirose, K., Tateishi, S. and Konishi, S.
- Organizer
  Joint Statistical Meeting 2012
- Place of Presentation
  Convention Centre in San Diego, USA
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] Lasso-type penalized maximum likelihood factor analysis
- Author(s)
  Hirose, K., and Yamamoto, M.
- Organizer
  Joint Statistical Meeting 2013
- Place of Presentation
  Palais des congres de Montreal, Montreal, Canada
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] 因子間相関を仮定した因子分析モデルの正則化スパース推定
- Author(s)
  廣瀬慧，山本倫生
- Organizer
  日本計算機統計学会第28回シンポジウム
- Place of Presentation
  沖縄科学技術大学院大学
- Year and Date
  2014-11-13 – 2014-11-15
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] ガウシアングラフィカルモデルのスパース推定における正則化項の検討
- Author(s)
  小倉幸弘，廣瀬慧，下平英寿
- Organizer
  日本計算機統計学会第27回シンポジウム
- Place of Presentation
  市民会館崇城大学ホール（熊本県熊本市中央区）
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] Penalized likelihood factor analysis via non-convex penalties
- Author(s)
  Hirose, K., and Yamamoto, M.
- Organizer
  5th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM 2012)
- Place of Presentation
  Conference Center, Oviedo, Spain.
- Invited
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] Extension of Rotation Technique via Penalization in Factor Analysis Model
- Author(s)
  Hirose, K., and Yamamoto, M.
- Organizer
  International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC 2014)
- Place of Presentation
  University of North Carolina at Greensboro
- Year and Date
  2014-10-10 – 2014-10-12
- Invited
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] Estimation of factor correlation in penalized likelihood factor analysis
- Author(s)
  Hirose, K., and Yamamoto, M.
- Organizer
  7th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM 2014)
- Place of Presentation
  University of Pisa, Italy
- Year and Date
  2014-12-06 – 2014-12-08
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] LARSによるモデル選択基準の構成とスパース回帰モデリング
- Author(s)
  保科架風，廣瀬慧，小西貞則
- Organizer
  2012年度統計関連学会連合大会
- Place of Presentation
  北海道大学
- Data Source
  KAKENHI-PROJECT-24700277
[Presentation] L1型正則化法を用いた職場の人間関係におけるつながり感回帰式の導出
- Author(s)
  吉田学, 今田美幸, 廣瀬慧, 松尾真人
- Organizer
  2013年度統計関連学会連合大会
- Place of Presentation
  大阪大学豊中キャンパス（大阪府豊中市）
- Data Source
  KAKENHI-PROJECT-24700277

1. Yutaka Kano (20201436)

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2. YAMAMOTO Michio (50721396)

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3. IWASAKI Manabu (40255948)

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4. TAKAI Keiji (20572019)

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6. KIKUCHI Kenichi (50270426)

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7. MORIKAWA Kosuke (40824305)

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8. Yuan Ke-Hai

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9. KAMATANI Kengo (00569767)

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10. AOSHIMA Makoto (90246679)

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45. 寺田吉壱

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Hirose Kei 廣瀬 慧

HIROSE Kei 廣瀬 慧

Research Projects

Research Products

Co-Researchers

Mathematical properties of maximum likelihood estimators in factor analysis models via computational algebra and geometry.Principal Investigator

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Mathematical Foundation for Seismic Modeling Pioneered by Information Statistics

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Development of Vacancy Rate Prediction Methods for Apartments with Prediction Accuracy and Interpretability

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Sparse factor analysis in high-dimensional time series and its application to energy sciencePrincipal Investigator

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Deepening and developing statistical theory for dependent data based on Levy noise

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Cluster analysis for grouping statistical models and its applicationPrincipal Investigator

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How serious is nonignorable missingness?

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Exploratory structural equation modeling via sparse regularizationPrincipal Investigator

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Theories and Methodologies for Large Complex Data

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New developments of missing data analysis: NMARness and APB

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Sparse estimation via regularization and its application to ultra high-dimensional dataPrincipal Investigator

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[Book] スパース推定法による統計モデリング2018

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[Book] スパース推定法による統計モデリング2018

Author(s)

Total Pages

Hirose Kei 廣瀬慧

HIROSE Kei 廣瀬慧