Rchr
J-GLOBAL ID：202201008126492245
Update date: Oct. 31, 2024
Kurisu Daisuke
クリス ダイスケ | Kurisu Daisuke
Affiliation and department：
Job title：
Associate Professor
Homepage URL (1)：
https://sites.google.com/site/daisukekurisu/home
Research field (3)：
Applied mathematics and statistics
, Statistical science
, Economic statistics
Research keywords (4)：
Statistical Science
, Econometrics
, Statistical Machine Learning
, Applied Probability
Research theme for competitive and other funds (5)：
- 2023 - 2026 時空間データに対する新たな因果推論・機械学習手法の開発
- 2020 - 2023 確率過程に対する一様・高次元正規近似法の開発と変数誤差モデルへの応用
- 2017 - 2021 A new approach to time-series econometric analysis with point processes
- 2019 - 2020 Nonparametric inference for discretely observed continuous-time and spatial processes
- 2016 - 2019 状態空間モデルによる非対称かつ裾の重い分布に従う時系列の推定
Papers (13)：
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Daisuke Kurisu, Taisuke Otsu. Subsampling inference for nonparametric extremal conditional quantiles. Econometric Theory. 2025. 1-15
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Daisuke Kurisu, Riku Fukami, Yuta Koike. Adaptive deep learning for nonlinear time series models. Bernoulli. 2025. 31. 1. 240-270
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Daisuke Kurisu, Yasumasa Matsuda. Local polynomial trend regression for spatial data on Rd. Bernoulli. 2024. 30. 4. 2770-2794
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Daisuke Kurisu, Kengo Kato, Xiaofeng Shao. Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data. Journal of the American Statistical Association. 2024. 119. 1. 1820-1832
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Daisuke Kurisu. Nonparametric regression for locally stationary functional time series. Electronic Journal of Statistics. 2022. 16. 2. 3973-3995
ｍore...
MISC (10)：
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Daisuke Kurisu, Yidong Zhou, Taisuke Otsu, Hans-Georg Müller. Geodesic causal inference. 2024
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Daisuke Kurisu, Yasumasa Matsuda. Series ridge regression for spatial data on Rd. 2024
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Masayuki Sawada, Takuya Ishihara, Daisuke Kurisu, Yasumasa Matsuda. Local-polynomial estimation for multivariate regression discontinuity designs. 2024
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Daisuke Kurisu, Taisuke Otsu, Mengshan Xu. Nonparametric causal inference with functional covariates. 2023
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Shonosuke Sugasawa, Takuya Ishihara, Daisuke Kurisu. Hierarchical regression discontinuity design: Pursuing subgroup treatment effects. 2023
ｍore...
Books (3)：
-
ベイズデータ解析(第3版)
森北出版 2024 ISBN:9784627097032
-
極値現象の統計分析: 裾の重い分布のモデリング
朝倉書店 2021 ISBN:425412256X
-
Separating information maximum likelihood method for high-frequency financial data
Springer 2018 ISBN:4431559280
Education (3)：
- 2016 - 2018 The University of Tokyo Graduate School of Economics Graduate - Division of Economics - Department of Statistics
- 2014 - 2016 The University of Tokyo Graduate School of Economics Graduate - Division of Economics - Department of Statistics
- 2010 - 2014 Kyoto University Faculty of Science
Professional career (1)：
- Ph.D. in Economics (The University of Tokyo)
Work history (4)：
- 2023/04 - 現在 The University of Tokyo Center for Spatial Information Science at the University of Tokyo Associate Professor
- 2022/04 - 2023/03 Yokohama National University Graduate School of International Social Sciences Associate Professor
- 2018/04 - 2022/03 Tokyo Institute of Technology School of Engineering Assistant Professor
- 2019/10 - 2020/03 London School of Economics Visiting Fellow
Awards (7)：
Association Membership(s) (3)：
Institute of Mathematical Statistics
, JAFEE
, 日本統計学会
