Rchr
J-GLOBAL ID:201801009719845512   Update date: Mar. 16, 2021

Sugasawa Shonosuke

スガサワ ショウノスケ | Sugasawa Shonosuke
Affiliation and department:
Homepage URL  (1): https://sites.google.com/view/ssugasawa
Research field  (1): Statistical science
Research keywords  (6): 数理統計 ,  医療統計 ,  ロバスト統計 ,  空間統計 ,  状態空間モデリング ,  ベイズ統計
Research theme for competitive and other funds  (5):
  • 2020 - 2025 Bayesian spatio-temporal modeling of income inequality
  • 2020 - 2024 Realization of the Micro Population Census by Deep Learning Using Satellite Images in Developing Countries
  • 2018 - 2021 グループデータ解析の安定化のための統計的方法論
  • 2016 - 2018 Specification of random effects distributions in mixed-effects models with applications to small area estimation
  • 2015 - 2016 混合モデルの小地域推定への応用
Papers (32):
  • Shonosuke Sugasawa, Jae Kwang Kim. An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables. Statistica Sinica. 2022
  • Genya Kobayashi, Yuta Yamauchi, Kazuhiko Kakamu, Yuki Kawakubo, Shonosuke Sugasawa. Bayesian approach to Lorenz curve using time series grouped data. Journal of Business & Economic Statistics. 2021. 1-37
  • Tsubasa Ito, Shonosuke Sugasawa. Improved confidence regions in meta-analysis of diagnostic test accuracy. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 2021. 153
  • Takumi Saegusa, Shonosuke Sugasawa, Partha Lahiri. Parametric Bootstrap Confidence Intervals for the Multivariate Fay-Herriot Model. Journal of Survey Statistics and Methodology. 2020
  • Shonosuke Sugasawa, Tatsuya Kubokawa. Small area estimation with mixed models: a review. Japanese Journal of Statistics and Data Science. 2020. 3. 2. 693-720
more...
Professional career (1):
  • 博士(経済学) (東京大学)
Work history (2):
  • 2018/04 - 現在 The University of Tokyo Center for Spatial Information Science at the University of Tokyo
  • 2015/12 - 2018/03 統計数理研究所 リスク解析戦略研究センター 特任研究員
Association Membership(s) (3):
日本計量生物学会 ,  日本計算機統計学会 ,  日本統計学会
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