%0 Journal Article
%A Álvarez Liébana, Javier
%A Ruiz Medina, María Dolores
%T Prediction of air pollutants PM10 by ARBX(1) processes
%D 2019
%U https://hdl.handle.net/20.500.14352/95035
%X This work adopts a Banach-valued time series framework for component-wise estimation and prediction, from temporal correlated functional data, in presence of exogenous variables. The strong-consistency of the proposed functional estimator and associated plug-in predictor is formulated. The simulation study undertaken illustrates their large-sample size properties. Air pollutants PM10 curve forecasting, in the Haute-Normandie region (France), is addressed by implementation of the functional time series approach presented.
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