Empirical Likelihood for Partial Parameters in ARMA Models with Infinite Variance

Abstract

This paper proposes a profile empirical likelihood for the partial parameters in ARMA$(p,q)$ models with infinite variance. We introduce a smoothed empirical log-likelihood ratio statistic. Also, the paper proves a nonparametric version of Wilks’s theorem. Furthermore, we conduct a simulation to illustrate the performance of the proposed method.