scholarly journals Kernel Conditional Quantile Estimation via Reduction Revisited

Author(s):  
Novi Quadrianto ◽  
Kristian Kersting ◽  
Mark D. Reid ◽  
Tibério S. Caetano ◽  
Wray L. Buntine
2021 ◽  
Vol 16 (4) ◽  
pp. 3009-3039
Author(s):  
Serge-Hippolyte Arnaud Kanga ◽  
Ouagnina Hili ◽  
Sophie Dabo-Niang

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.


2015 ◽  
Vol 156 ◽  
pp. 14-30 ◽  
Author(s):  
Isabelle Charlier ◽  
Davy Paindaveine ◽  
Jérôme Saracco

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