Long-memory discrete-valued time series: models and methods

Abstract

Discrete-valued time series with long memory are considered. To avoid the “curse of dimensionality” of the parameter space we propose to use the parsimo- nious models of high-order Markov chains that are determined by small number of parameters. Methods for statistical analysis of these models are developed and illustrated on simulated and real statistical data.