Quasi-Maximum Likelihood Estimation of long-memory linear processes
Statistics Theory
2024-05-24 v2 Statistics Theory
Abstract
The purpose of this paper is to study the convergence of the quasi-maximum likelihood (QML) estimator for long memory linear processes. We first establish a correspondence between the long-memory linear process representation and the long-memory AR process representation. We then establish the almost sure consistency and asymptotic normality of the QML estimator. Numerical simulations illustrate the theoretical results and confirm the good performance of the estimator.
Keywords
Cite
@article{arxiv.2310.14711,
title = {Quasi-Maximum Likelihood Estimation of long-memory linear processes},
author = {Jean-Marc Bardet and Yves Gael Tchabo Mbienkeu},
journal= {arXiv preprint arXiv:2310.14711},
year = {2024}
}