Minami, Mihoko

写真a

Affiliation

Faculty of Science and Technology, Department of Mathematics （Yagami）

Position

Professor

Related Websites
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Career 【 Display / hide 】

  • 1982.04
    -
    1987.11

    Nihon Univac Co.Ltd.

  • 1995.04
    -
    1999.03

    Science University of Tokyo, Faculty of Science, Department of Applied Mathematics, Assistant Professor

  • 1999.04
    -
    2009.03

    The Institute of Statistical Mathematics, Department of Mathematical Analysis and Statistical Inference, Associate Professor

  • 1999.04
    -
    2009.03

    The Graduate University for Advanced Studies, School of Multidisciplinary Sciences, Department of Statistical Science, Associate Professor

  • 2001.09
    -
    2008.03

    Keiou University, Faculty of Science and Technology, Part-time Lecturer

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Academic Background 【 Display / hide 】

  • 1982.03

    Ochanomizu University, Faculty of Science, Department of Mathematics

    University, Graduated

  • 1990.06

    University of California, San Diego Master course, Department of Mathematics

    United States, University, Graduated

  • 1993.12

    University of California, San Diego Department of Mathematics, Ph.D. course, Department of Mathematics

    United States, University, Graduated

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Academic Degrees 【 Display / hide 】

  • Ph.D., University of California, San Diego, Coursework, 1993.12

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Research Areas 【 Display / hide 】

  • Informatics / Statistical science (Statistical Science)

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Research Themes 【 Display / hide 】

  • 環境リスク解析, 

    2009.04
    -
    Present

  • Cyclic regression smoothing spline for environmental data, 

    2009
    -
    Present

  • Regression and Classification problem for distributions, 

    2008
    -
    Present

  • Feature extraction method from very non-normal data, 

    2007
    -
    Present

    　View Summary

    海洋生物の混獲数データのように非正規性の強いデータから特徴量を抽出する統計手法の研究。視点をかえると非正規データの次元の削減問題と捉えることができる

  • 生物資源評価, 

    2005.04
    -
    Present

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Books 【 Display / hide 】

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Papers 【 Display / hide 】

  • Treatment Effects Estimation with Missing not at Random Data Without Outcome Modeling

    Yoneyama S., Minami M.

    Journal of Statistical Theory and Practice （Journal of Statistical Theory and Practice)  17 （ 3 ）  2023.09

    Research paper (scientific journal), Joint Work, Last author, Accepted,  ISSN  15598608

    　View Summary

    When we study treatment effects in observational studies, we often face two problems: confounding and missing data. To properly estimate the treatment effects with missing data, we need to solve both problems simultaneously. When the outcome is missing not at random (MNAR), existing methods for estimating treatment effects require outcome modeling. However, identifying an appropriate model for a variable with MNAR is difficult. In this paper, we propose a method to estimate the average treatment effect (ATE), the average treatment effect on the treated (ATT), and the average treatment effect on the untreated (ATU) using an instrumental variable for missing data without modeling the outcome when it is MNAR. Here, the instrumental variable is independent of the potential outcome and associated with the missingness, when conditioned on the covariates. We show that the proposed estimators for ATE, ATT, and ATU are consistent and asymptotically normal. In addition, we demonstrate that the proposed estimators perform better in terms of bias and root-mean-squared error than other commonly used missing data adjustment methods. Moreover, the variance formula of the proposed estimator is verified through simulated experiments. This study allows us to estimate causal effects without bias and without modeling the outcome when the outcome is MNAR.

  • Flickering flash signals and mate recognition in the Asian firefly, Aquatica lateralis

    Hideo Takatsu, Mihoko Minami, Yuichi Oba

    Scientific Reports （Nature)  13 （ 2415 ）  2023.02

    Research paper (scientific journal), Joint Work, Accepted

    　View Summary

    Nocturnal fireflies sometimes use intricate bioluminescent signal systems for sexual communication. In this study, we examined flash signals and mate recognition in the Asian firefly, Aquatica lateralis, under natural field conditions. We found that the flash pattern of females changes after copulation, from simple short flashes to flashes with longer duration and flickering. To understand the functions of flickering, we video-recorded and analyzed the flashes of sedentary males, receptive females, and mated females. The results showed that the flashes of these three adult phases can be discriminated from each other by two parameters, flash duration and flicker intensity, with little overlap. Male attraction experiments using an artificial LED device termed ‘e-firefly’ confirmed that flying and sedentary males are attracted to flashes with shorter durations and lower flicker intensities. The range of attraction success was much wider for flying males and narrower for sedentary males, and the latter was close to the range of receptive female’s flashes. These findings suggest that in addition to flash duration, flicker intensity is a flash signal parameter of mate recognition in A. lateralis males.

  • Exposure to PM2.5 and Lung Function Growth in Pre- and Early-Adolescent Schoolchildren A Longitudinal Study Involving Repeated Lung Function Measurements in Japan

    Toru Takebayashi, Masataka Taguri, Hiroshi Odajima et al.

    Annals of the American Thoracic Society （Annals of the American Thoracic Society)  19 （ 5 ） 763 - 772 2022.05

    Research paper (scientific journal), Joint Work, Accepted,  ISSN  23296933

    　View Summary

    Rationale: Epidemiological evidence indicates that ambient exposure to particulate matter <2.5 μm in aerodynamic diameter (PM2.5) has adverse effects on lung function growth in children, but it is not actually clear whether exposure to low-level PM2.5 results in long-term decrements in lung function growth in preto early-adolescent schoolchildren. Objectives: To examine long-term effects of PM2.5 within the 4-year average concentration range of 10-19 μg/m3 on lung function growth with repeated measurements of lung function tests. Methods: Longitudinal analysis of 6,233 lung function measurements in 1,466 participants aged 8-12 years from 16 school communities in 10 cities around Japan, covering a broad area of the country to represent concentration ranges of PM2.5, was done with a multilevel linear regression model. Forced expiratory volume in 1 second, forced vital capacity (FVC), and maximal expiratory flow at 50% of FVC were used as lung function indicators to examine the effects of 10-μg/m3 increases in the PM2.5 concentration on relative growth per each 10-cm increase in height. Results: The overall annual mean PM2.5 level was 13.5 μg/m3 (range, 10.4-19.0 μg/m3). We found no association between any of the lung function growth indicators and increases in PM2.5 levels in children of either sex, even after controlling for potential confounders. Analysis with two-pollutant models with O3 or NO2 did not change the null results. Conclusions: This nationwide longitudinal study suggests that concurrent, long-term exposure to PM2.5 at concentrations ranging from 10.4 to 19.0 μg/m3 has little effect on lung function growth in preadolescent boys or pre- to early-adolescent girls.

  • Causal Subclassification Tree Algorithm and Robust Causal Effect Estimation via Subclassification

    Tomoshige Nakamura, Mihoko Minami

    International Journal of Statistics and Probability 10 （ 1 ） 40 - 57 2020.11

    Research paper (scientific journal), Joint Work, Accepted,  ISSN  1927-7032

  • Cluster analysis methods applied to daily vessel location data to identify cooperative fishing among tuna purse-seiners

    Lennert-Cody C.E., Maunder M.N., Román M.H., Xu H., Minami M., Lopez J.

    Environmental and Ecological Statistics （Environmental and Ecological Statistics)  27 （ 4 ） 649 - 664 2020.08

    Research paper (scientific journal), Accepted,  ISSN  13528505

    　View Summary

    © 2020, Springer Science+Business Media, LLC, part of Springer Nature. Management of large-scale pelagic fisheries relies heavily on fishery data to provide information on tuna population status because, for widely distributed populations, the cost of collecting survey data is often prohibitively high. However, fishery data typically do not provide direct information on interactions among fishing vessels, and thus methods of analysis often assume that vessels operate independently, despite the belief that cooperative fishing occurs. Cluster analysis methods were applied to daily vessel location data collected by onboard fisheries observers to identify groups of tuna purse-seine vessels searching for fish close to each other in space. Some vessel groups were found to reoccur through time, both on daily and monthly or longer time scales. This temporal persistence and reoccurrence are interpreted as an indication of cooperative fishing. Results indicate that there may be multiple layers of vessel interactions, from groups of a few vessels to networks of larger numbers of vessels. The use of reoccurring vessel group characteristics to study the temporal and spatial persistence of areas of high tuna abundance is discussed.

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Papers, etc., Registered in KOARA 【 Display / hide 】

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Presentations 【 Display / hide 】

  • ホタルの発光と「意思」決定戦略の統計的推測

    南美穂子，高津英夫，大場裕一

    応用統計学会2023年年会 (北海道大学) , 

    2023.04
    , 

    Oral presentation (general), 応用統計学会

  • Regression Tree and Clustering for Distributions, and Homogeneous Structure of Population Characteristics

    Mihoko Minami

    Waseda International Symposium (Waseda University ) , 

    2021.03
    , 

    Waseda University

  • 分布に基づいたクラスタリングに対する階層手順による多重検定

    南美穂子, Cleridy E. Lennert-Cody

    2020年度統計関連学会連合大会, 

    2020.09
    , 

    Oral presentation (general)

  • Jensen-Shannon ダイバージェンスを用いた分布に対する回帰樹，クラスタリング，多重比較

    南美穂子, Cleridy E. Lennert-Cody

    2019年度統計関連学会連合大会, 

    2019.09

  • Clustering methods for distributions and partioning of space.

    Mihoko Minami, Cleridy E. Lennert-Cody

    統計数理研究所共同研究集会「環境・生態データと統計解析」, 

    2018.10

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 分布データの解析手法，統計的推測法の提案と生物資源評価，生態・環境データへの応用

    2021.04
    -
    2026.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Principal investigator

  • 環境リスク解析・生物資源評価のための統計的モデリングと解析手法

    2017.04
    -
    2021.03

    独立行政法人 日本学術振興会, Grant-in-Aid for Scientific Research, Research grant, Principal investigator

    　View Summary

    本研究は，環境リスク解析と生物資源評価のための，統計的モデリングと解析手法の提案を目的とする．

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Awards 【 Display / hide 】

  • Jacob Wolfowitz prize

    Mihoko Minami and Kunio Shimizu, 2001.12, American Journal of Mathematical and Management Sciences, ML and REML estimation of Matusita's measure for two bivariate normal distributions with missing observations

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Courses Taught 【 Display / hide 】

  • TOPICS IN STATISTICAL SCIENCES A

    2024

  • TOPICS IN LIFE INSURANCE MATHEMATICS

    2024

  • STATISTICAL SCIENCE AND ITS EXERCISE

    2024

  • SEMINAR IN STATISTICAL SCIENCES

    2024

  • INTRODUCTION TO STATISTICAL SCIENCE

    2024

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Courses Previously Taught 【 Display / hide 】

  • データサイエンス特別講義

    慶應義塾大学理工学研究科

    2019.04
    -
    2020.03
    , 

    Autumn Semester

  • 数理統計学第二

    慶應義塾大学理工学部

    2019.04
    -
    2020.03
    , 

    Autumn Semester

  • 数学2B

    慶應義塾大学理工学部

    2019.04
    -
    2020.03
    , 

    Autumn Semester

  • 統計輪講

    Keio University

    2014.04
    -
    2015.03
    , 

    Autumn Semester, Within own ｆaculty, 1h

  • データ解析同演習

    Keio University

    2014.04
    -
    2015.03
    , 

    Autumn Semester, Seminar, Within own ｆaculty, 1h

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Social Activities 【 Display / hide 】

  • 微小粒子状物質等疫学調査研究検討会 環境省 水・大気環境局

    2010.09
    -
    Present

  • AISM 編集委員会

    2006.04
    -
    2014.03
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Memberships in Academic Societies 【 Display / hide 】

  • 国際計量生物学会 IBC2012 実行委員会, 

    2009.11
    -
    2012.09

  • 国際計量生物学会 IBC2010 国際プログラム委員会, 

    2007.07
    -
    2010.12

  • 2004年度統計関連学会連合大会　事務局, 

    2003.10
    -
    2004.09

  • 2003年度統計関連学会連合大会　事務局, 

    2002.10
    -
    2003.09

  • Fourth International Sysmposium on Independent Component Analysis and blind source Separation (ICA2003), 

    2002.04
    -
    2003.04

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Committee Experiences 【 Display / hide 】

  • 2023.04
    -
    Present

    Coordinating Editor, Japanese Journal of Statistics and Data Science

  • 2022.04
    -
    2024.03

    委員長, 日本統計学会多様性推進特別委員会

  • 2021.09
    -
    2023.09

    委員長, 日本統計学会学会活動特別委員会

  • 2021.04
    -
    2023.03

    代議員, 日本統計学会

  • 2020.10
    -
    2026.09

    連携会員, 日本学術会議

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