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Nonparametric regression for locally stationary random fields under
  stochastic sampling design
v1v2v3v4v5v6v7v8v9 (latest)

Nonparametric regression for locally stationary random fields under stochastic sampling design

13 May 2020
Daisuke Kurisu
ArXiv (abs)PDFHTML

Papers citing "Nonparametric regression for locally stationary random fields under stochastic sampling design"

7 / 7 papers shown
Semiparametric Regression for Spatial Data via Deep Learning
Semiparametric Regression for Spatial Data via Deep LearningSpatial Statistics (Spat. Stat.), 2023
Kexuan Li
Jun Zhu
A. Ives
V. Radeloff
Fangfang Wang
353
11
0
10 Jan 2023
Local polynomial trend regression for spatial data on $\mathbb{R}^d$
Local polynomial trend regression for spatial data on Rd\mathbb{R}^dRd
Daisuke Kurisu
Y. Matsuda
520
1
0
24 Nov 2022
Regularized Nonlinear Regression with Dependent Errors and its
  Application to a Biomechanical Model
Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical ModelAnnals of the Institute of Statistical Mathematics (AISM), 2022
Hojun You
Kyubaek Yoon
Wei-Ying Wu
Jongeun Choi
C. Lim
114
2
0
24 Oct 2022
On the estimation of locally stationary functional time series
On the estimation of locally stationary functional time series
Daisuke Kurisu
532
6
0
25 May 2021
Nonparametric regression for locally stationary functional time series
Nonparametric regression for locally stationary functional time seriesElectronic Journal of Statistics (EJS), 2021
Daisuke Kurisu
663
13
0
17 May 2021
Continuous-time locally stationary time series models
Continuous-time locally stationary time series modelsAdvances in Applied Probability (AAP), 2021
Annemarie Bitter
R. Stelzer
Bennet Ströh
183
4
0
28 Apr 2021
Gaussian approximation and spatially dependent wild bootstrap for
  high-dimensional spatial data
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
Daisuke Kurisu
Kengo Kato
Xiaofeng Shao
331
20
0
19 Mar 2021
1
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