Non-parametric level set estimation for spatial data

Archive ouverte : Article de revue

Dabo-Niang, Sophie | Nkiet, Guy-Martial | Bouka, Stéphane

Edité par HAL CCSD ; Pushpa Publishing House

International audience. A non-parametric level set estimator of the density of a stationary d-dimensional spatial process is proposed. The estimator is deduced from a non-parametric kernel density estimator. Berry-Esseen bounds are established and used to give consistency results of the kernel level set estimation, derived from that of the kernel density estimate under some mild conditions.

Consulter en ligne

Suggestions

Du même auteur

On estimation in a spatial functional linear regression model with derivati...

Archive ouverte: Article de revue

Bouka, Stéphane | 2018-05

International audience. This paper deals with functional linear regression for spatial data. We study the asymptotic properties of an estimator of a linear model where a spatial scalar response variable is related t...

Non-parametric statistical analysis of spatially distributed functional dat...

Archive ouverte: Type de document indéfini

Dabo-Niang, Sophie | 2021

International audience

Predictive spatio-temporal model for spatially sparse global solar radiatio...

Archive ouverte: Article de revue

André, Maïna | 2016-09

International audience. This paper introduces a new approach for the forecasting of solar radiation series at a located station for very short time scale. We built a multivariate model in using few stations (3 stati...

Chargement des enrichissements...