Rchr
J-GLOBAL ID:200901061245527028   Update date: Oct. 14, 2024

Matsuda Yasumasa

マツダ ヤスマサ | Matsuda Yasumasa
Affiliation and department:
Job title: Professor
Homepage URL  (2): http://www2.econ.tohoku.ac.jp/~DSSR/http://www2.econ.tohoku.ac.jp/~DSSR/en.top.html
Research field  (2): Economic statistics ,  Statistical science
Research keywords  (6): ピリオドグラム ,  スペクトル ,  spectral analysis ,  spatial temporal data ,  spatial data ,  time series
Research theme for competitive and other funds  (16):
  • 2005 - 現在 時空間系列分析の理論と応用
  • 2021 - 2026 Modeling of large scale spatio-temporal data and its empirical applications in social science
  • 2020 - 2025 Innovative Developments of Theories and Methodologies for Large Complex Data
  • 2018 - 2023 空間計量経済学における最重要課題への挑戦と新たな展開
  • 2017 - 2022 Building new models for spatio-temporal econometrics and thier statistical inference
Show all
Papers (29):
  • Daisuke Kurisu, Yasumasa Matsuda. Local polynomial trend regression for spatial data on Rd. Bernoulli. 2024. 30. 4
  • Takaki Sato, Yuta Kuroda, Yasumasa Matsuda. Spatial extension of mixed models of the analysis of variance. Spatial Economic Analysis. 2024. 1-15
  • Runyu Dai, Yoshimasa Uematsu, Yasumasa Matsuda. Estimation of Large Covariance Matrices with Mixed Factor Structures. The Econometrics Journal. 2023
  • Giuseppe Arbia, Yasumasa Matsuda, Junyue Wu. Estimating spatial regression models with sample data-points: A Gibbs sampler solution. Spatial Statistics. 2022. 47. 100568-100568
  • Anqi Li, Takaki Sato, Yasumasa Matsuda. Spatial analysis of subjective well-being in Japan. JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE. 2022
more...
MISC (22):
  • Fourier Analysis of Surface Time Series. Time Series, Random Fields and beyond. 2024
  • Spatial factor models, for surface time series. Spatial factor models for surface time series. EcoSta 2024. 2024
  • Yasumasa Matsuda, Runyu Dai. Spatial Factor Models. York-Tohoku Symposium. 2024
  • Yasumasa Matsuda, Runyu Dai, Jieying Zhang, Rei Iwafuchi. Estimation of high-dimensional volatility matrices by spatial AR models with unknown linkages. Spatial Econometrics Association. 2024
  • Functional PCA of human population in Tokyo. NTU-Tohoku U 7th Symposium on AI and Human Studies, Taipei. 2024
more...
Education (2):
  • - 1999 Tokyo Institute of Technology 情報理工学研究科 department of mathematical computing sciences
  • - 1991 Tokyo Institute of Technology Faculty of Science department of mathematics
Professional career (1):
  • 博士(理学) (Tokyo Institute of Technology)
Work history (4):
  • 2005/10 - Faculty of Economics, Tohoku University 助教授
  • 2000/04 - 2005/09 新潟大学経済学部 助教授
  • 2003/09 - 2004/09 Department of Statistics, London School of Economics 研究員
  • 1997/04 - 2000/03 神奈川大学工学部 助手
Committee career (4):
  • 2020/04 - 現在 Spatial Econometrics Association Journal of Spatial Econometrics Association, Associate Editor
  • 2005/04 - 現在 American Mathematical Society Reviewer
  • 2018/06 - 2023/05 Japanese Journal of Statistics and Data Science Japanese Journal of Statistics and Data Science, Coodinating Editor
  • 2017/06 - 2021/05 Japan Statistical Association board member
Awards (3):
  • 2019/09 - JSS Research Award
  • 2011/03/03 - 日本学術振興会 JSPS prize 時空間統計学の理論と空間計量経済学への応用
  • 2008/06 - 応用統計学会 応用統計学会賞
Association Membership(s) (3):
応用統計学会 ,  Bernoulli Society for Mathematical Statistics and Probability ,  日本統計学会
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