Rchr
J-GLOBAL ID：202001000840348039
Update date: Sep. 11, 2024
ZHAO Yu
チョウ ウ | ZHAO Yu
Affiliation and department：
Job title：
Junior Associate Professor
Homepage URL (1)：
https://researchmap.jp/yu.zhao
Research field (2)：
Statistical science
, Social systems engineering
Research keywords (5)：
Operations Research, Data Analysis
, Statistical science
, Mathematical optimization
, Data Envelopment Analysis
, 意思決定
Research theme for competitive and other funds (4)：
- 2023 - 2027 加速する人口減少下における持続可能な上下水道サービスに関する実証的研究
- 2022 - 2025 DEAにおける不確実性の導入
- 2021 - 2023 Stochastic nonparametric estimation for efficiency measurement
- 2017 - 2022 Dynamic DEA integrating high-quality efficiency measure and analytical functions: Theory and practice
Papers (11)：
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Yu Zhao. Empirical Estimation of the Production Frontier. Advances in the Theory and Applications of Performance Measurement and Management. 2024. 59-69
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Yu Zhao, Hiroshi Morita. Estimating Malmquist-type indices with StoNED. Expert Systems with Applications. 2024. 123877-123877
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Jiaming Jiang, Yu Zhao. Technology Trend Analysis of Japanese Green Vehicle Powertrains Technology Using Patent Citation Data. Energies. 2023. 16. 5. 2221
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Kazuyuki Sekitani, Yu Zhao. Least-distance approach for efficiency analysis: A framework for nonlinear DEA models. European Journal of Operational Research. 2022. 306. 3. 1296-1310
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Yu Zhao. Nonparametric Estimation of the Production Frontier Using a Data-Fitting Technique. Frontiers in Artificial Intelligence and Applications. 2022. 352. 9-20
ｍore...
MISC (5)：
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国友直人, 趙宇. 統計的DEA法:理論と応用. 統計数理研究所共同研究リポート471-極値理論の工学への応用(21). 2024. 52-57
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趙宇. 階層ベイズロジットモデルと異質な消費者行動. Discussion Papers Series, Consortium for Training Experts in Statistical Sciences. 2024
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Naoto Kunitomo, Yu Zhao. A Statistical Data Envelopment Analysis. Discussion Papers Series, Consortium for Training Experts in Statistical Sciences. 2022
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趙宇,関谷和之. DEAによるJORSJ掲載論文の評価ーJORSJの国際的地位の向上に向けてー. 経営の科学. 2021. 66. 11. 748-753
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丸山幸宏,濱口由子,趙宇. 公衆衛生対策とDEA:感染症対策を中心としてー. 経営の科学. 2017. 62. 7. 25-32
Books (2)：
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Empirical Estimation of the Production Frontier (in Advances in the Theory and Applications of Performance Measurement and Management )
Springer Cham 2024 ISBN:9783031615979
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Operations Management and Management Science (Chapter 5: Performance Measurement Using Deterministic and Stochastic Multiplicative Directional Distance Functions)
London: IntechOpen 2022
Lectures and oral presentations (27)：
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解釈可能な機械学習を用いた心理ロイヤリティを考慮した消費者幸福感の分析に関する研究
(2024年度統計連合大会 2024)
-
A Maximum Russell Graph Measure with Strong Monotonicity and Closest Targets
(日本オペレーションズ・リサーチ学会2024年春季研究発表会 2024)
-
An empirical data-fitting approach to estimate the production frontier
(DEA45: International Conference on Data Envelopment Analysis 2023)
-
Maximum Russell graph measures and extended production possibility sets
(日本オペレーションズ・リサーチ学会2023年春季研究発表会 2023)
-
Strongly Monotonic Efficiency Measures in Data Envelopment Analysis
(2022 INFORMS Annual Meeting 2022)
ｍore...
Education (2)：
- 2017 - 2020 Osaka University Graduate School of Information Science and Technology Information and Physical Sciences
- 2015 - 2017 Nagasaki University Graduate School of Economics Policy Studies in Economics and Management
Professional career (1)：
- Doctor of Philosophy in Information Science and Technology (Osaka University)
Work history (3)：
- 2023/11 - 現在 The Institute of Statistical Mathematics
- 2023/09 - 現在 Tokyo University of Science School of Management Management Junior Associate Professor
- 2020/03 - 2023/08 Tokyo University of Science School of Management Management Assistant Professor
Committee career (2)：
- 2021/03/01 - 2024/02/29 日本オペレーションズ・リサーチ学会 「評価のOR」研究部会幹事
- 2021/05/01 - 2023/04/30 日本オペレーションズ・リサーチ学会 論文誌編集幹事
Awards (4)：
- 2023/09/29 - 統計数理研究所 所長賞
- 2023/09 - 統計数理研究所 所長賞
- 2022/08 - Best Oral Presentation Award
- 2018/06/15 - Best Thesis Award
Association Membership(s) (3)：
The Institute for Operations Research and the Management Sciences (INFORMS)
, The Japan Statistical Society
, The Operations Research Society of Japan
