Consistency of the plug-in functional predictor of the Ornstein–Uhlenbeck process in Hilbert and Banach spaces

Predicting the past,
Ornstein-Uhlenbeck’s path,
Consistency holds.
Consistency
Dimension reduction
Functional data
Functional time series
Ornstein-Uhlenbeck process

Javier Álvarez Liébana, Denis Bosq, María Dolores Ruiz Medina, «Consistency of the plug-in functional predictor of the Ornstein–Uhlenbeck process in Hilbert and Banach spaces», Stat. Prob. Letters 117, 12–22 (2017), doi: 10.1016/j.spl.2016.04.023

Authors
Affiliations

Universidad Complutense de Madrid

Denis Bosq

Universitè Pierre et Marie Curie

Universidad de Granada

Published

October 2016

Doi
Otros detalles

Artículo derivado de mi estancia en París con Denis Bosq

Materiales

Abstract

New results on functional prediction of the Ornstein-Uhlenbeck process in an autoregressive Hilbert-valued and Banach-valued frameworks are derived. Specifically, consistency of the maximum likelihood estimator of the autocorrelation operator, and of the associated plug-in predictor is obtained in both frameworks.

Código R y datos

El código no fue documentado no está libremente disponible, solo bajo petición

Cita BibTeX

@article{AlvarezLiebanaetal16,
  author = {J. Álvarez-Liébana and D. Bosq and M. D. Ruiz-Medina},
  title = {Consistency of the plug-in functional predictor of the Ornstein–Uhlenbeck process in Hilbert and Banach spaces},
  journal = {Stat. Prob. Letters},
  volume = {117},
  pages = {12-22},
  keywords = {Autoregressive Hilbertian processes, Banach-valued autoregressive processes, consistency, maximum likelihood parameter estimator, ornstein–Uhlenbeck process},
  url = {https://www.sciencedirect.com/science/article/abs/pii/S016771521630044X},
  year = {2016}
}