7 citations · 13 across the 14 of their papers we have counts for
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math.ST2022
Local polynomial trend regression for spatial data on
Daisuke Kurisu, Yasumasa Matsuda
This paper develops a general asymptotic theory of local polynomial (LP) regression for spatial data observed at irregularly spaced locations in a sampling region $R_n \subset \mat…
econ.EM2022
Shrinkage Methods for Treatment Choice
Takuya Ishihara, Daisuke Kurisu
This study examines the problem of determining whether to treat individuals based on observed covariates. The most common decision rule is the conditional empirical success (CES) r…
math.ST2022
Adaptive deep learning for nonlinear time series models
Daisuke Kurisu, Riku Fukami, Yuta Koike
In this paper, we develop a general theory for adaptive nonparametric estimation of the mean function of a non-stationary and nonlinear time series model using deep neural networks…