Title |
Professor |
Graduating School 【 display / non-display 】
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Kyoto University Faculty of Science JAPAN
Graduate School 【 display / non-display 】
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Osaka University Graduate School, Division of Engineering Science Master's Course Completed JAPAN
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Osaka University Graduate School, Division of Engineering Science Doctor's Course Completed JAPAN
Degree 【 display / non-display 】
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Kyoto University - Bachelor (Science) Foundations of mathematics/Applied mathematics
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Osaka University - Master (Engineering) Foundations of mathematics/Applied mathematics
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Osaka University - Doctor (Science) Foundations of mathematics/Applied mathematics
Committee Memberships 【 display / non-display 】
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1997.05-1997.07
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2001.04-2003.03
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2011.04-Now
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2012.04-2013.06
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2019.08-2019.09
Qualification acquired 【 display / non-display 】
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Software Design & Development Engineer/Information Processing Engineer, Class 1
Papers 【 display / non-display 】
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Determination of the Optimal Number of Strata for Propensity Score Subclassification
Shunichiro Orihara, Etsuo Hamada ( Single Author )
Statistics and Probability Letters 168 2021
Research paper (scientific journal) English
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Granger causality between the number of PCR-positive cases and the number of infected deaths in the COVID-19 epidemic in Japan
( Single Author )
2020.12
Research paper (scientific journal) Japanese
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Determination of the Optimal Number of Strata for Propensity Score Subclassification
Sun-ichiro Orihara, Etsuo Hamada ( Multiple Authorship )
Statistics and Probability Letters 2020.09
Research paper (scientific journal) English
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On a misuse of sufficient statistics in the exponential family
Etsuo Hamada ( Single Author )
Scientiae Mathematicae Japonicae 82 ( 1 ) 19 - 28 2019.07
Research paper (scientific journal) English
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A discrete probabilistic model for analyzing pairwise comparison matrices
Sumito Kurata, Etsuo Hamada ( Multiple Authorship )
Communications in Statistics –Theory and Methods 48 ( 15 ) 3801 - 3815 2019.06
Research paper (scientific journal) English
Books 【 display / non-display 】
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Fundamentals of Data Science
( Single Work )
Kodansya Scientific Textbook Japanese
Research Grants and Projects 【 display / non-display 】
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Project Year:2022.04 - 2025.03
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Project Year:2018.04 - 2021.03
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Project Year:2006.04 - 2009.03
Presentations 【 display / non-display 】
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Nonparametric causal inference by the kernel method
松岡佑知, 濵田悦生
International conference The 2017 IASC- ARS/NZSA Conference ( The University of Auckland, New Zealand ) Oral Presentation(general)
2017.12 -
A robust model selection criterion family and its application for the causal model
倉田澄人, 濵田悦生
International conference Conference of the International Federation of Classification Societies: IFCS-2017 ( 東海大学 ) Oral Presentation(general)
2017.08 -
The median estimator of quantile regression
田辺竜ノ介, 濵田悦生
International conference IASC-ARS 2015 ( Singapore ) Oral Presentation(general)
2015.12 -
Objective priors for the zero-inflated model
田辺竜ノ介, 熊谷悦生
International conference International Statistical Institute Regional Statistics Conference 2014 “Statistical Science for a Better Tomorrow” ( Malaysia ) Oral Presentation(general)
2014.11 -
A Criterion on Apportionment Methods Minimizing the Renyi’s Divergence
熊谷悦生
International conference International Statistical Institute Regional Statistics Conference 2014 “Statistical Science for a Better Tomorrow” ( Malaysia ) Oral Presentation(general)
2014.11