In this Note, we study the recursive kernel estimator of the conditional quantile of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space. We establish the almost complete consistency of this estimate when the observations are sampled from a functional ergodic process.
Dans cette Note, nous étudions l'estimateur à noyau récursif des quantiles conditionnels d'une variable réponse réelle Y sachant une variable aléatoire fonctionnelle X. Nous établissons la convergence presque complète de cet estimateur estimation lorsque les observations ont une corrélation ergodique.
Accepted:
Published online:
Fatima Benziadi 1; Ali Laksaci 2; Fethallah Tebboune 3
@article{CRMATH_2016__354_6_628_0, author = {Fatima Benziadi and Ali Laksaci and Fethallah Tebboune}, title = {Note on conditional quantiles for functional ergodic data}, journal = {Comptes Rendus. Math\'ematique}, pages = {628--633}, publisher = {Elsevier}, volume = {354}, number = {6}, year = {2016}, doi = {10.1016/j.crma.2016.03.005}, language = {en}, }
TY - JOUR AU - Fatima Benziadi AU - Ali Laksaci AU - Fethallah Tebboune TI - Note on conditional quantiles for functional ergodic data JO - Comptes Rendus. Mathématique PY - 2016 SP - 628 EP - 633 VL - 354 IS - 6 PB - Elsevier DO - 10.1016/j.crma.2016.03.005 LA - en ID - CRMATH_2016__354_6_628_0 ER -
Fatima Benziadi; Ali Laksaci; Fethallah Tebboune. Note on conditional quantiles for functional ergodic data. Comptes Rendus. Mathématique, Volume 354 (2016) no. 6, pp. 628-633. doi : 10.1016/j.crma.2016.03.005. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.1016/j.crma.2016.03.005/
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