@article {10.3844/jmssp.2005.267.276,
article_type = {journal},
title = {Parsimonious Var Models For Air Pollution Dynamic Analysis},
author = {lara, Fontanella and mariagrazia, Granturco},
volume = {1},
year = {2005},
month = {Dec},
pages = {267-276},
doi = {10.3844/jmssp.2005.267.276},
url = {https://thescipub.com/abstract/jmssp.2005.267.276},
abstract = {We discuss a framework to obtain temporal predictions for an evolving spatial field regularly sampled in time at arbitrary spatial locations. Difficulties caused by large data sets and the modelling of complicated spatio-temporal interactions limit the effectiveness of traditional space-time statistical models. In this study, we propose the use of a flexible approach to deal with large and small time-scale variability of the observed data. The temporal model is applied with respect to both the observed data domain and the common component domain, to achieve a dimensionality reduction.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}