Time series aggregation, disaggregation and long memory
Statistics Theory
2009-10-20 v1 Statistics Theory
Abstract
We study the aggregation/disaggregation problem of random parameter AR(1) processes and its relation to the long memory phenomenon. We give a characterization of a subclass of aggregated processes which can be obtained from simpler, "elementary", cases. In particular cases of the mixture densities, the structure (moving average representation) of the aggregated process is investigated.
Keywords
Cite
@article{arxiv.math/0702821,
title = {Time series aggregation, disaggregation and long memory},
author = {Dmitrij Celov and Remigijus Leipus and Anne Philippe},
journal= {arXiv preprint arXiv:math/0702821},
year = {2009}
}