Asymptotic properties of nonparametric quantile estimation with spatial dependency
S.‐H. Arnaud Kanga,
Ouagnina Hili,
Sophie Dabo‐Niang and
Assi N'Guessan
Statistica Neerlandica, 2023, vol. 77, issue 3, 254-283
Abstract:
The purpose of this work is to nonparametrically estimate the conditional quantile for a locally stationary multivariate spatial process. The new kernel quantile estimate derived from the one of conditional distribution function (CDF). The originality in the paper is based on the ability to take into account some local spatial dependency in estimate CDF form. Consistency and asymptotic normality of the estimates are obtained under α$$ \alpha $$‐mixing condition. Numerical study and application to real data are given in order to illustrate the performance of our methodology.
Date: 2023
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https://doi.org/10.1111/stan.12284
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Persistent link: https://EconPapers.repec.org/RePEc:bla:stanee:v:77:y:2023:i:3:p:254-283
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