Kei Hirose - My portal - researchmap

Profile Information

Affiliation: Kyushu University

Degree: 機能数理学(九州大学)

J-GLOBAL ID: 201101077668688070
researchmap Member ID: B000003690

External link: https://keihirose.com/

Research Areas

1

Informatics / Statistical science /

Committee Memberships

2

Apr, 2021 - Mar, 2023

代議員, 日本統計学会
Jan, 2015 - Mar, 2018

編集委員, 計算機統計学会欧文誌編集委員

Awards

1

Jun, 2016

計算機統計学会 2015年度論文賞, 計算機統計学会

Papers

26

ランダムでない欠測を含む時系列モデリング

馬場由羽貴, 廣瀬慧

日本統計学会誌, 53(2) 275-296, Feb, 2024 Peer-reviewedLast author
Fast same-step forecast in SUTSE model and its theoretical properties

Wataru Yoshida, Kei Hirose

Computational Statistics and Data Analysis, 190, Feb, 2024
Sparse and Simple Structure Estimation via Prenet Penalization

Kei Hirose, Yoshikazu Terada

Psychometrika, 88(4) 1381-1406, Dec, 2023
Hierarchical clustered multiclass discriminant analysis via cross-validation

Kei Hirose, Kanta Miura, Atori Koie

Computational Statistics and Data Analysis, 178, Feb, 2023
Sparse multivariate regression with missing values and its application to the prediction of material properties

Keisuke Teramoto, Kei Hirose

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 123(2) 530-546, Jan, 2022
Interpretable Modeling for Short- and Medium-Term Electricity Demand Forecasting

Kei Hirose

FRONTIERS IN ENERGY RESEARCH, 9, Dec, 2021
Relationship between gene regulation network structure and prediction accuracy in high dimensional regression

Yuichi Okinaga, Daisuke Kyogoku, Satoshi Kondo, Atsushi J. Nagano, Kei Hirose

SCIENTIFIC REPORTS, 11(1), Jun, 2021
Event Effects Estimation on Electricity Demand Forecasting

Kei Hirose, Keigo Wada, Maiya Hori, Rin-ichiro Taniguchi

ENERGIES, 13(21), Nov, 2020
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

廣瀬慧

計算機統計学会, Jun, 2020 Peer-reviewedInvited
Robust relative error estimation

Kei Hirose, Hiroki Masuda

Entropy, 20(9) 632-632, Aug, 2018 Peer-reviewed
Sparse factor regression via penalized maximum likelihood estimation.

Hirose, K. and Imada, M.

Statistical Papers, 633-662, May, 2018 Peer-reviewed
Readouts for echo-state networks built using locally regularized orthogonal forward regression

Ján Dolinský, Kei Hirose, Sadanori Konishi

Journal of Applied Statistics, 45(4) 740-762, Mar, 2018 Peer-reviewed
Robust sparse Gaussian graphical modeling

Kei Hirose, Hironori Fujisawa, Jun Sese

Journal of Multivariate Analysis, 161 172-190, Sep, 2017 Peer-reviewed
An Interpersonal Sentiment Quantification method applied to Work Relationship Prediction

Imada, M., Hirose, K., Yoshida, M., Sunyong, K., Toyozumi, N. …

NTT Technical Review, 15(3), Mar, 2017 Peer-reviewed
Graphical tool of sparse factor analysis

Yamamoto, M., Hirose, K., Nagata, H.

Behaviormetrika, Jan, 2017 Peer-reviewedInvited
Sparse modeling and model selection

Kei Hirose

Journal of the Institute of Electronics, Information and Communication Engineers, 99(5) 392-399, May, 2016 Peer-reviewed
Full information maximum likelihood estimation in factor analysis with a large number of missing values

Kei Hirose, Sunyong Kim, Yutaka Kano, Miyuki Imada, Manabu Yoshida, Masato Matsuo

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 86(1) 91-104, Jan, 2016
Sparse estimation via nonconcave penalized likelihood in factor analysis model

Kei Hirose, Michio Yamamoto

STATISTICS AND COMPUTING, 25(5) 863-875, Sep, 2015
ESTIMATING SCALE-FREE NETWORKS VIA THE EXPONENTIATION OF MINIMAX CONCAVE PENALTY

Kei Hirose, Yukihiro Ogura, Hidetoshi Shimodaira

JOURNAL JAPANESE SOCIETY OF COMPUTATIONAL STATISTICS, 28(1) 139-154, 2015
Estimation of an oblique structure via penalized likelihood factor analysis

Kei Hirose, Michio Yamamoto

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 79 120-132, Nov, 2014

More

Major Misc.

9

スパースモデリングとモデル選択

廣瀨慧

May, 2016

More

Major Books and Other Publications

2

スパース推定法による統計モデリング

川野秀一, 松井秀俊, 廣瀬慧 (Role: Joint author)

共立出版, Mar, 2018

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Presentations

42

スパース多変量解析と物性予測への応用

廣瀬慧

日本接着学会西部支部令和4年度若手主催講演会, Nov 11, 2022
Penalized likelihood approach in multivariate regression with missing values and its application to materials properties prediction

Hirose, K

Statistics and Mathematical Modelling in Combination (SMMC 2022), Nov 6, 2022 Invited
欠測がある場合におけるスパース多変量重回帰分析と物性予測への応用

廣瀬慧, 寺本圭佑

2022年度統計関連学会連合大会, Sep 5, 2022
Penalized likelihood factor analysis

Hirose, K

The 51st Scientific Meeting of the Italian Statistical Society (SIS 2022), Jun, 2022 Invited
Penalized likelihood approach in multivariate regression with missing values and its application to materials science

Hirose, K, Teramoto, K

The 5th International Conference on Econometrics and Statistics (EcoSta 2022), Jun, 2022 Invited
Computationally efficient forecasting algorithm in the SUTSE model and its properties

Yoshida, W, Hirose, K

The 5th International Conference on Econometrics and Statistics (EcoSta 2022), Jun, 2022
スパース推定の最新の展開

廣瀬慧, 松井秀俊

2022年度応用統計学会, May, 2022 Invited
Sparse multivariate regression with missing values and its application to material properties prediction

Hirose, K, Teramoto, K

IASC-ARS2022 (The 11th Conference of the IASC-ARS), Feb, 2022 Invited
スパースモデリングによる高次元材料データ解析

廣瀬慧

第179回粘着研究会例会, Nov, 2021 Invited
回帰モデルの合計値予測とクラスタリング

廣瀬慧, 増田弘毅

2021年度統計関連学会連合大会, Sep, 2021
適切な誤差分散推定によるモデル選択後の予測精度向上

吉田航, 廣瀬慧

2021年度統計関連学会連合大会, Sep, 2021
接着強度予測のための多変量解析

廣瀬慧

接着界面科学研究会第7回例会, Jul, 2021 Invited
Hierarchical multiclass discriminant analysis via cross-validation

Hirose, K. and Miura, K.

The 4th International Conference on Econometrics and Statistics (EcoSta 2021), Jun, 2021 Invited
正則化因子分析とその応用

廣瀬慧

RIMS-IMI 合同談話会, Mar 12, 2021 Invited
Event Effects Estimation on Electricity Load Forecasting

Hirose K

I 2 CNER＆IMI International Workshop., Jan 25, 2021
目的変数に欠損を含むデータに対する多変量重回帰モデルを用いた補完アルゴリズムについて

寺本圭佑, 廣瀬慧

数学･数理科学専攻若手研究者のための異分野･異業種研究交流会2020, Oct 31, 2020
遺伝子ネットワーク構造が予測精度に与える影響

沖永悠一, 京極大助, 近藤聡, 永野惇, 廣瀬慧

数学･数理科学専攻若手研究者のための異分野･異業種研究交流会2020, Oct 31, 2020
クラスタリングによる正準判別の精度向上と高速化.

三浦完太, 廣瀬慧

数学･数理科学専攻若手研究者のための異分野･異業種研究交流会2020, Oct 31, 2020
クラスタリングによる正準判別の精度向上とクロスバリデーションの高速化

三浦完太, 廣瀬慧

2020年度科研費シンポジウム「多様な分野のデータに対する統計科学･機械的アプローチ」, Sep 29, 2020
遺伝子ネットワーク構造が予測精度に与える影響

沖永悠一, 京極大助, 近藤聡, 永野惇, 廣瀬慧

2020年度科研費シンポジウム「多様な分野のデータに対する統計科学･機械的アプローチ」, Sep 28, 2020

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Professional Memberships

1

American Statistical Association, 日本統計学会, 応用統計学会, 計算機統計学会, Bulletin of Informatics and Cybernetics

Works

5

Rパッケージ hclda

三浦完太, 廣瀬慧

Jun, 2021
Rパッケージ simrnet

沖永悠一, 廣瀬慧

Feb, 2021
電力需要予測ソフト

廣瀬慧

Jun, 2020
Rパッケージ fanc

廣瀬慧

Dec, 2015
Rパッケージ fanc

廣瀬慧, 山本倫生, 永田晴久

May, 2012

Research Projects

8

Mathematical Foundation for Seismic Modeling Pioneered by Information Statistics

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2023 - Mar, 2028
高次元時系列解析におけるスパース因子分析とエネルギービッグデータへの応用

科学研究費助成事業基盤研究(C), 基盤研究(C), 日本学術振興会, Apr, 2023 - Mar, 2026

廣瀬慧
レヴィノイズに基づく従属性統計理論の深化と展開

科学研究費助成事業基盤研究(B), 基盤研究(B), 日本学術振興会, Apr, 2022 - Mar, 2026

増田弘毅, 廣瀬慧, 小池祐太, 江口翔一
代数的・幾何的アプローチによる因子分析モデルの最尤推定量の性質の解明

科学研究費助成事業学術変革領域研究(A), 学術変革領域研究(A), 日本学術振興会, Apr, 2023 - Mar, 2025

廣瀬慧
Cluster analysis for grouping statistical models and its application

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2019 - 2021

Hirose Kei
Theories and Methodologies for Large Complex Data

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2020

AOSHIMA Makoto
How serious is nonignorable missingness?

Grants-in-Aid for Scientific Research, Grant-in-Aid for Challenging Exploratory Research, Japan Society for the Promotion of Science, Apr, 2016 - Mar, 2018

Kano Yutaka, TAKAI Keiji, OTSU Tatsuo, MORIKAWA Kosuke, IMADA Miyuki, TAKAGI Yoshiharu, NAGASE Mario, Kim Jae-Kwang, Yuan Ke-Hai, Jamshidian Mortaza(Mori)
Exploratory structural equation modeling via sparse regularization

Grants-in-Aid for Scientific Research, Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science, 2015 - 2018

Hirose Kei, Yamamoto Michio, Nagata Haruhisa