Updated on 2025/04/15

Information

 

写真a

 
HIROSE MASAYO
 
Organization
Institute of Mathematics for Industry Division of Industrial and Mathematical Statistics Associate Professor
School of Sciences Department of Mathematics(Concurrent)
Graduate School of Mathematics Department of Mathematics(Concurrent)
Joint Graduate School of Mathematics for Innovation (Concurrent)
Title
Associate Professor
Contact information
メールアドレス
Profile
近年, Evidence Based Policy Making (EBPM)の重要性も認識されてきています. 同時に, 小区分ごとの実態把握に基づくより丁寧な計画立案への期待も高まっています. 私は, 調査データによって小区分ごとの特性値を推定する際, 統計的モデルを介して統計的精度向上に貢献可能な統計的小地域推定法の理論研究及びその応用に興味を持ち研究に取り組んでいます. このような統計的推定手法を質の高い有用なエビデンス資料作成に活用することにより, 有用な計画立案につながり, 社会的課題解決への期待を高めることができます. また、数理データサイエンス教育研究センターの教員として活動もしています.
External link

Degree

  • Ph.D in Engineering

Research Interests・Research Keywords

  • Research theme: Small Area Statistical Inference and its Application

    Keyword: Statistical Science, Small area estimation, Mixed effect model

    Research period: 2018.4 - 2019.4

Awards

  • コンペティション講演 優秀報告賞

    2012.9   2012年度統計関連学会連合大会  

  • 日本統計学会春季集会 ポスターセッション 優秀発表賞

    2011.3   日本統計学会  

Papers

  • Asymptotic UMVUE: Asymptotic Moments Matching the UMVUE under the Ewens Sampling Formula Reviewed International journal

    @Hirose M.Y. and Mano, S. (2023)

    Calcutta Statistical Association Bulletin   2023.11

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Arc-Sin Transformation for Binomial Sample Proportions in Small Area Estimation Reviewed International journal

    @Hirose M.Y., Ghosh M. and Ghosh T.

    Statistica Sinica   33   705 - 727   2023.4

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Repository Public URL: https://hdl.handle.net/2324/7172091

  • Poisson Counts, Square Root Transformation and Small Area Estimation: Square Root Transformation

    Malay Ghosh, Tamal Ghosh, @Masayo Y. Hirose

    Sankhya B   84 ( 2 )   449 - 471   2022.11

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    Language:Others   Publishing type:Research paper (scientific journal)  

    The paper intends to serve two objectives. First, it revisits the celebrated Fay-Herriot model, but with homoscedastic known error variance. The motivation comes from an analysis of count data, in the present case, COVID-19 fatality for all counties in Florida. The Poisson model seems appropriate here, as is typical for rare events. An empirical Bayes (EB) approach is taken for estimation. However, unlike the conventional conjugate gamma or the log-normal prior for the Poisson mean, here we make a square root transformation of the original Poisson data, along with square root transformation of the corresponding mean. Proper back transformation is used to infer about the original Poisson means. The square root transformation makes the normal approximation of the transformed data more justifiable with added homoscedasticity. We obtain exact analytical formulas for the bias and mean squared error of the proposed EB estimators. In addition to illustrating our method with the COVID-19 example, we also evaluate performance of our procedure with simulated data as well.

    DOI: 10.1007/s13571-021-00269-8

  • Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models Reviewed International journal

    @Masayo Y. Hirose, Partha Lahiri

    Journal of the American Statistical Association   2021.4

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    Language:English   Publishing type:Research paper (scientific journal)  

    (Ref. https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1737532)

    Repository Public URL: https://hdl.handle.net/2324/7172092

  • A class of general adjusted maximum likelihood methods for desirable mean squared error estimation of EBLUP under the Fay–Herriot small area model Reviewed

    @Masayo Y. Hirose

    Journal of Statistical Planning and Inference   199   302 - 310   2019.3

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    Language:English  

  • Estimating variance of random effects to solve multiple problems simultaneously Reviewed

    @Masayo Yoshimori Hirose, Partha Lahiri

    The Annals of Statistics   46 ( 4 )   1721 - 1741   2018.8

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1214/17-AOS1600

  • Non-area-specific adjustment factor for second-order efficient empirical Bayes confidence interval Reviewed International journal

    Masayo Yoshimori Hirose

    Computational Statistics and Data Analysis   116   67 - 78   2017.12

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    Language:English  

  • Impact of a food safety campaign on streptococcus suis infection in humans in Thailand Reviewed International journal

    Dan Takeuchi, Anusak Kerdsin, Yukihiro Akeda, Piphat Chiranairadul, Phacharaphan Loetthong, Nutchada Tanburawong, Prasanee Areeratana, Panarat Puangmali, Kasean Khamisara, Wirasinee Pinyo, Rapeepun Anukul, Sutit Samerchea, Punpong Lekhalula, Tatsuya Nakayama, Kouji Yamamoto, Masayo Hirose, Shigeyuki Hamada, Surang Dejsirilert, Kazunori Oishi

    American Journal of Tropical Medicine and Hygiene   96 ( 6 )   1370 - 1377   2017.1

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    Language:English  

  • Numerical comparison between different empirical prediction intervals under the fay-herriot model Reviewed

    Masayo Yoshimori

    Communications in Statistics: Simulation and Computation   44 ( 5 )   1158 - 1170   2015.5

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    Language:Others   Publishing type:Research paper (scientific journal)  

    Recently, an empirical best linear unbiased predictor is widely used as a practical approach to small area inference. It is also of interest to construct empirical prediction intervals. However, we do not know which method should be used from among the several existing prediction intervals. In this article, we first obtain an empirical prediction interval by using the residual maximum likelihood method for estimating unknown model variance parameters. Then we compare the later with other intervals with the residual maximum likelihood method. Additionally, some different parametric bootstrap methods for constructing empirical prediction intervals are also compared in a simulation study.

    DOI: 10.1080/03610918.2013.809102

  • A second-order efficient empirical bayes confidence interval Reviewed International journal

    @Masayo Yoshimori, Partha Lahiri

    The Annals of Statistics   42 ( 4 )   1 - 29   2014.8

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    Language:English   Publishing type:Research paper (scientific journal)  

  • A new adjusted maximum likelihood method for the Fay-Herriot small area model Reviewed International journal

    Masayo Yoshimori, Partha Lahiri

    Journal of Multivariate Analysis   2014.2

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    Language:Japanese  

  • IFN production ability and healthy ageing Mixed model analysis of a 24 year longitudinal study in Japan Reviewed International journal

    Kazuko Uno, Katsumi Yagi, @Masayo Yoshimori, Mari Tanigawa, Toshikazu Yoshikawa, Setsuya Fujita

    BMJ open   3 ( 1 )   2013.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1136/bmjopen-2012-002113

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Books

  • サンプリングってなんだろう---統計を使って全体を知る方法---

    廣瀬雅代, 稲垣佑典, 深谷肇一(Role:Joint author)

    岩波書店  2018.3 

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    Language:Japanese   Book type:General book, introductory book for general audience

    サンプリングや統計的思考の入門書(啓発書)。

Presentations

  • 集計レベルモデル下の経験的最良線形不偏予測量とその不確実性の程度の推定 Invited

    廣瀬雅代

    日本数学会九州支部例会  2025.2 

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    Event date: 2025.2

    Language:Japanese  

    Venue:九州大学  

  • 公的ミクロデータを活用した貧困状況実態把握のための解析

    廣瀬雅代

    2024年度数理・DSに関する教育・研究支援プログラム発表会  2024.12 

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    Event date: 2024.12

    Language:Japanese  

  • 就業構造基本調査を利用した県内経済圏別貧困率の推定

    廣瀬雅代

    2024年度統計関連学会連合大会  2024.9 

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    Event date: 2024.9

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 観光統計への小地域推定手法適用の可能性について

    廣瀬雅代

    2024年度研究会「ミクロデータ利活用推進のための課題探究」  2024.8 

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    Event date: 2024.8

    Language:Japanese  

    Venue:福岡  

  • A Poverty Mapping based on Arc-sin Transformed Area Level Model Invited International conference

    Hirose, M.Y. and Mayumi Oka

    RIMS Symposium Modeling and Learning of Stochastic Dynamics  2024.7 

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    Event date: 2024.7

    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:RIMS, Kyoto University   Country:Japan  

  • An Estimation of Variance of Random Effects to Solve Multiple Problems in Small Area Estimation Invited International coauthorship International conference

    Hirose, M.Y. and Partha Lahiri

    ISI-IASS webinar series  2024.5  ISI, IASS

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    Event date: 2024.5

    Language:English   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:online  

    国際学会ISI,IASSの国際的なセミナーWebinar seriesにおいて、招待を受け、オンライン上で講演した。https://isi-web.org/webinar/iass-webinar-40-estimation-variance-random-effects-solve-multiple-problems-small-area

  • A Small Area Estimation under Arc-sin Transformed Area Level Model Invited International conference

    @Hirose, M.Y. and Oka, M.

    Statistics Seminar at George Washington University  2024.4 

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    Event date: 2024.4

    Language:English   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Country:United States  

  • 小区分別の貧困率推定に向けた小地域推定の適用とその試み

    @廣瀬雅代、岡檀

    2023年度研究会「ミクロデータ利活用推進のための課題探究」  2023.8 

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    Event date: 2024.4

    Language:Japanese  

    Country:Japan  

  • エリアレベルモデルに基づく都道府県別貧困率の推定とマッピング

    @廣瀬雅代、岡檀

    2023年度統計関連学会連合大会  2023.9 

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    Event date: 2024.4

    Language:Japanese  

    Country:Japan  

  • 逆正弦変換に基づくエリアレベルモデルを用いた小区分別貧困率推定とそのマッピング Invited

    @廣瀬雅代、岡檀

    応用統計ワークショップ  2023.12 

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    Event date: 2024.4

    Language:Japanese   Presentation type:Symposium, workshop panel (public)  

    Country:Japan  

  • Poverty Mapping in Japan based on Area Level Model Approach using Japanese Official Microdata Invited International conference

    @Hirose, M.Y. and Oka, M.

    FMfI 2023  2023.9 

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    Event date: 2024.4

    Language:English  

    Country:Japan  

  • A Poverty Mapping based on Arc-sin Transformed Area Level Model Invited

    @Hirose, M.Y. and Oka, M.

    Statistics Seminar at the University of Florida  2024.4 

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    Event date: 2024.4

    Language:English   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Country:United States  

  • 公的ミクロデータとエリアレベルモデルを用いた都道府県別貧困率推定への試み

    @廣瀬雅代、岡檀

    「ミクロデータから⾒た我が国の社会・経済の実像」令和4年度研究集会  2023.3 

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    Event date: 2023.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • エリアレベルモデルに基づく小地域推定とその応用 Invited

    廣瀬雅代

    日本数学会2022年度年会  2022.3 

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    Event date: 2022.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Country:Japan  

    エリアレベルモデルに基づく小地域推定の理論研究とその応用について講演した

  • 公的ミクロデータ活用に向けた小領域ごとの推定手法の検討 Invited

    @廣瀬雅代

    日本統計学会春季集会2021  2021.3 

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    Event date: 2021.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

    公的ミクロデータ活用に向けた小領域ごとの複数の推定手法の検討と提案について

  • 量的調査について(スライドタイトル:統計的仮説検定とサンプルサイズ設計の入門) Invited

    @廣瀬雅代

    コンピュータセキュリティシンポジウム 2020 「企画セッション:UWSチュートリアル」  2020.10 

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    Event date: 2020.10

    Language:Japanese  

    Country:Japan  

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MISC

  • 中心極限定理から広がる確率論: 統計学への応用

    廣瀬雅代

    2016.7

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    Language:Japanese  

Professional Memberships

  • 日本統計学会

  • 計量生物学会

Academic Activities

  • FMfI2025 organizer International contribution

    Role(s): Planning, management, etc.

    2025.8

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    Type:Academic society, research group, etc. 

  • Ajou-Kyushu Statistics Joint Seminar (closed) International contribution

    Role(s): Planning, management, etc.

    2025.2

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    Type:Academic society, research group, etc. 

  • 2024 Ajou-Kyushu-NIMS Joint Workshop organizer International contribution

    Role(s): Planning, management, etc., Panel moderator, session chair, etc.

    2024.9

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    Type:Academic society, research group, etc. 

  • Program Committee member International contribution

    Small Area Estimation, Surveys and Data Science 2022  ( UnitedStatesofAmerica ) 2022.5

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    Type:Competition, symposium, etc. 

  • Other International contribution

    The 2019 IISA International Conference on Statistics  ( India India ) 2019.12

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    Type:Competition, symposium, etc. 

  • Screening of academic papers

    Role(s): Peer review

    2019

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:5

  • その他

    統計関連学会連合大会  ( Japan Japan ) 2017.4 - 2019.3

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    Type:Competition, symposium, etc. 

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Research Projects

  • EBPMに向けた統計的推測法の理論的研究

    2022 - 2026

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

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 小区分ごとの貧困層実態把握への統計的アプローチ---貧困・格差是正に向けて

    2018 - 2022

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Early-Career Scientists

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 世帯統計ミクロデータによる国際比較分析に関する研究

    2018 - 2020

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

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • 小地域推定問題における統計的推測--発展途上国への適用および医学分野への拡張

    2014 - 2015

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Research Activity start-up

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 経験最良線形不偏予測量の予測誤差に関する研究--小地域推定とその拡張--

    2012 - 2013

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for JSPS Fellows

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    Authorship:Principal investigator  Grant type:Scientific research funding

Class subject

  • 統計数学演習

    2024.10 - 2025.1   Second semester

  • 数理統計学

    2024.10 - 2025.1   Second semester

  • 数理統計学(工II群)

    2022.4 - 2022.9   First semester

  • 数理統計学(工III群)

    2022.4 - 2022.9   First semester

  • 数理統計学概論

    2021.10 - 2022.3   Second semester

  • 数理統計学

    2021.10 - 2022.3   Second semester

  • 数理統計学概論

    2020.10 - 2021.3   Second semester

  • 統計科学・演習

    2020.4 - 2020.9   First semester

  • 数理統計学概論(A・Bクラス)

    2019.10 - 2020.3   Second semester

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FD Participation

  • 2021.7   Role:Participation   Title:数理学府FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2021.3   Role:Participation   Title:数理学府FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

Social Activities

  • 中学生へのアウトリーチ活動

    Role(s):Lecturer

    九州大学IMI、新宮町立新宮東中学校  2024.11

  • 第151回Q-AOSブラウンバッグセミナーの講師

    Role(s):Lecturer

    第151回Q-AOSブラウンバッグセミナー  2024.7

  • (文部科学省平成30年度「超スマート社会の実現に向けたデータサイエンティスト育成事業」に採択された) DS4によるキックオフシンポジウム「データサイエンティストへの誘い」にて、統計科学者として講演を行った。また,他3名のデータサイエンティストとのパネルディスカッションに参加した。

    主催:DS4運営委員会,大阪大学基礎工学研究科 共催:大阪大学 男女協働推進センター 協賛:大阪大学 数理・データ科学教育研究センター 後援:Data Scientist女子部  大阪大学  2019.3

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    Audience:General, Scientific, Company, Civic organization, Governmental agency

    Type:Lecture

    データサイエンティストに関するシンポジウムで、統計科学者として講演をおこなった。

  • 「統計のひみつを学ぼう」 図書館にて小中学生対象としたBB弾サンプリング実験とその解説

    2017.7

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    Audience:Infants, Schoolchildren, Junior students, High school students

    Type:Seminar, workshop

  • 高校生への研究紹介

    2015.11

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    Audience:Infants, Schoolchildren, Junior students, High school students

Media Coverage

  • 数理・データサイエンス・AI教育強化拠点コンソーシアムニュースレター vol.16のインタビュー記事

    「数理・データサイエンスと大学」インタビュー  2022.9

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    数理・データサイエンス・AI教育強化拠点コンソーシアムニュースレター vol.16のインタビュー記事