scholarly journals Kernel conditional quantile estimator under left truncation for functional regressors

2016 ◽  
Vol 36 (1) ◽  
pp. 25 ◽  
Author(s):  
Nacéra Helal ◽  
Elias Ould Saïd
2011 ◽  
Vol 2011 ◽  
pp. 1-35
Author(s):  
Sidi Ali Ould Abdi ◽  
Sophie Dabo-Niang ◽  
Aliou Diop ◽  
Ahmedoune Ould Abdi

Given a stationary multidimensional spatial process , we investigate a kernel estimate of the spatial conditional quantile function of the response variable given the explicative variable . Asymptotic normality of the kernel estimate is obtained when the sample considered is an -mixing sequence.


2021 ◽  
Vol 13 (1) ◽  
pp. 45-77
Author(s):  
Nadia Kadiri ◽  
Abbes Rabhi ◽  
Salah Khardani ◽  
Fatima Akkal

Abstract In this paper, we investigate the asymptotic properties of a nonparametric conditional quantile estimation in the single functional index model for dependent functional data and censored at random responses are observed. First of all, we establish asymptotic properties for a conditional distribution estimator from which we derive an central limit theorem (CLT) of the conditional quantile estimator. Simulation study is also presented to illustrate the validity and finite sample performance of the considered estimator. Finally, the estimation of the functional index via the pseudo-maximum likelihood method is discussed, but not tackled.


2010 ◽  
Vol 19 (1) ◽  
pp. 1-21 ◽  
Author(s):  
S. A. Ould Abdi ◽  
S. Dabo-Niang ◽  
A. Diop ◽  
A. Ould Abdi

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