Rchr
J-GLOBAL ID:201801009719845512
Update date: Aug. 02, 2024
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 (2):
Economic statistics
, Statistical science
Research keywords (6):
ベイズ統計
, 時空間統計
, 状態空間モデリング
, 数理統計
, ロバスト統計
, 医療統計
Research theme for competitive and other funds (9):
- 2024 - 2029 Novel Bayesian predictive methods for social science
- 2024 - 2027 Realizing Micro Population Data at the Building Scale in Developing Countries Using Satellite Image and AI
- 2021 - 2025 大規模データに対するベイズモデリングの新展開
- 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 - 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
- 2018 - 2021 Statistical Methodology for Stabilizing Grouped Data Analysis
- 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
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Papers (56):
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Hisashi Noma, Shonosuke Sugasawa, Toshi A. Furukawa. Robust inference methods for meta-analysis involving influential outlying studies. Statistics in Medicine. 2024
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Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa. Posterior robustness with milder conditions: Contamination models revisited. Statistics & Probability Letters. 2024. 110130-110130
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Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa. Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo. Spatial Statistics. 2024. 59
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Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa. Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations. Statistics and Computing. 2024. 34. 1
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Daisuke Murakami, Shonosuke Sugasawa, Hajime Seya, Daniel A. Griffith. Sub-Model Aggregation for Scalable Eigenvector Spatial Filtering: Application to Spatially Varying Coefficient Modeling. Geographical Analysis. 2024
more...
MISC (1):
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菅澤 翔之助, 野間 久史, 大谷 隆浩, 西野 穣, 松井 茂之. Rare Variant検出のための柔軟な検定手法. 日本計算機統計学会シンポジウム論文集. 2016. 30. 61-64
Professional career (1):
Work history (5):
- 2023/04 - 現在 Keio University Faculty of Economics Associate Professor
- 2021/04 - 2023/03 The University of Tokyo Center for Spatial Information Science Associate Professor
- 2018/04 - 2021/03 The University of Tokyo Center for Spatial Information Science
- 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
- 2015/04 - 2015/11 Japan Society for the Promotion of Science
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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