3 papers
stat.ME2021
Depth-based reconstruction method for incomplete functional data
Antonio Elías, Raúl Jiménez, Hanlin Shang
The problem of estimating missing fragments of curves from a functional sample has been widely considered in the literature. However, a majority of the reconstruction methods rely…
stat.ME2021
On projection methods for functional time series forecasting
Antonio Elías, Raúl Jiménez, Hanlin Shang
Two nonparametric methods are presented for forecasting functional time series (FTS). The FTS we observe is a curve at a discrete-time point. We address both one-step-ahead forecas…
stat.ME2018
A depth-based method for functional time series forecasting
Antonio Elías, Raúl Jiménez
An approach is presented for making predictions about functional time series. The method is applied to data coming from periodically correlated processes and electricity demand, ob…