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On nonparametric inference for spatial regression models under domain
  expanding and infill asymptotics

On nonparametric inference for spatial regression models under domain expanding and infill asymptotics

25 April 2018
Daisuke Kurisu
ArXivPDFHTML

Papers citing "On nonparametric inference for spatial regression models under domain expanding and infill asymptotics"

7 / 7 papers shown
Title
Gaussian Approximation for High Dimensional Time Series
Gaussian Approximation for High Dimensional Time Series
Danna Zhang
Wei Biao Wu
65
131
0
27 Aug 2015
A semiparametric spatial dynamic model
A semiparametric spatial dynamic model
Yan Sun
Hongjia Yan
Wenyang Zhang
Zudi Lu
39
74
0
23 May 2014
Inference on causal and structural parameters using many moment
  inequalities
Inference on causal and structural parameters using many moment inequalities
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
81
117
0
30 Dec 2013
A central limit theorem for stationary random fields
A central limit theorem for stationary random fields
M. E. Machkouri
D. Volný
Wei Biao Wu
75
39
0
05 Sep 2011
Asymptotic normality of the Parzen-Rosenblatt density estimator for
  strongly mixing random fields
Asymptotic normality of the Parzen-Rosenblatt density estimator for strongly mixing random fields
Mohamed El Machkouri
49
32
0
07 Aug 2010
Asymptotic normality of kernel estimates in a regression model for
  random fields
Asymptotic normality of kernel estimates in a regression model for random fields
Mohamed El Machkouri
R. Stoica
60
34
0
09 Jul 2009
Confidence bands in nonparametric time series regression
Confidence bands in nonparametric time series regression
Zhibiao Zhao
Wei Biao Wu
108
75
0
07 Aug 2008
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