Spatio-temporal Ornstein-Uhlenbeck processes: theory, simulation and statistical inference
Methodology
2019-05-20 v3
Abstract
Spatio-temporal modelling is an increasingly popular topic in Statistics. Our paper contributes to this line of research by developing the theory, simulation and inference for a spatio-temporal Ornstein-Uhlenbeck process. We conduct detailed simulation studies and demonstrate the practical relevance of these processes in an empirical study of radiation anomaly data. Finally, we describe how predictions can be carried out in the Gaussian setting.
Cite
@article{arxiv.1504.08327,
title = {Spatio-temporal Ornstein-Uhlenbeck processes: theory, simulation and statistical inference},
author = {Michele Nguyen and Almut E. D. Veraart},
journal= {arXiv preprint arXiv:1504.08327},
year = {2019}
}
Comments
Supplementary material included