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栗栖大輔 2021年 研究業績一覧 (20件 / 57件)
論文
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Daisuke Kurisu,
Taisuke Otsu.
On linearization of nonparametric deconvolution estimators for repeated measurement models,
Journal of Multivariate Analysis,
Elsevier,
Nov. 2021.
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Daisuke Kurisu,
Takuya Ishihara,
Shonosuke Sugasawa.
Robust and efficient empirical Bayes confidence intervals using gamma divergence,
Working paper,
Aug. 2021.
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Naoto Kunitomo,
Daisuke Kurisu.
Detecting number of factors of quadratic variation in the presence of microstructure noise,
Japanese Journal of Statistics and Data Science,
Springer,
Vol. 4,
pp. 601-641,
June 2021.
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Daisuke Kurisu.
Nonparametric regression for locally stationary random fields under stochastic sampling design,
Bernoulli,
June 2021.
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Daisuke Kurisu.
On the estimation of locally stationary functional time series,
Working paper,
May 2021.
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Daisuke Kurisu.
Nonparametric regression for locally stationary functional time series,
Working paper,
May 2021.
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Daisuke Kurisu,
Taisuke Otsu.
Nonparametric inference for extremal conditional quantiles,
Working paper,
May 2021.
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Daisuke Kurisu,
Kengo Kato,
Xiaofeng Shao.
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data,
Working paper,
Mar. 2021.
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Daisuke Kurisu,
Taisuke Otsu.
On the uniform convergence of deconvolution estimators from repeated measurements,
Econometric Theory,
Jan. 2021.
著書
国際会議発表 (査読有り)
国際会議発表 (査読なし・不明)
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Daisuke Kurisu.
On the estimation of nonstationary functional time series,
CSA-KSS-JSS joint international session,
Dec. 2021.
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Daisuke Kurisu.
On the estimation of nonstationary functional data,
CMStatistics2021,
Dec. 2021.
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Daisuke Kurisu.
Gaussian approximation and bootstrap for high-dimensional spatial data,
63rd ISI World Statistics Congress 2021,
July 2021.
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Daisuke Kurisu.
Wild bootstrap for high-dimensional spatial data,
Bernoulli-IMS 10th World Congress,
July 2021.
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Daisuke Kurisu.
Saptially dependent wild bootstrap for high-dimensional spatial data,
University of Alberta Statistics Seminar,
Mar. 2021.
国内会議発表 (査読なし・不明)
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