Conditional quantile estimation with auxiliary information for left-truncated and dependent data

2011 ◽  
Vol 141 (11) ◽  
pp. 3475-3488 ◽  
Author(s):  
Han-Ying Liang ◽  
Jacobo de Uña-Álvarez
Keyword(s):  
Auxiliary Information ◽  
Quantile Estimation ◽  
Dependent Data ◽  
Conditional Quantile

scholarly journals Kernel Conditional Quantile Estimation via Reduction Revisited

2009 ◽  
Author(s):  
Novi Quadrianto ◽  
Kristian Kersting ◽  
Mark D. Reid ◽  
Tibério S. Caetano ◽  
Wray L. Buntine
Keyword(s):  
Quantile Estimation ◽  
Conditional Quantile

scholarly journals On Nonparametric Conditional Quantile Estimation for Non-stationary Random

2021 ◽  
Vol 16 (4) ◽  
pp. 3009-3039
Author(s):  
Serge-Hippolyte Arnaud Kanga ◽  
Ouagnina Hili ◽  
Sophie Dabo-Niang
Keyword(s):  
Numerical Study ◽  
Quantile Estimation ◽  
Spatial Process ◽  
Spatial Dependency ◽  
Conditional Quantile ◽  
Underlying Process ◽  
Quantile Estimate ◽  
Large Sample

A kernel conditional quantile estimate of a real-valued non-stationary spatial process is proposed for a prediction goal at a non-observed location of the underlying process. The originality is based on the ability to take into account some local spatial dependency. Large sample properties based on almost complete and \(L^q\)-consistencies of the estimator are established. A numerical study is given in order to illustrate the performance of our methodology.

Quantile estimation with auxiliary information under positively associated samples

2016 ◽  
Vol 36 (2) ◽  
pp. 453-468
Author(s):  
Yinghua LI ◽  
Yongsong QIN ◽  
Qingzhu LEI ◽  
Lifeng LI
Keyword(s):  
Auxiliary Information ◽  
Quantile Estimation
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