Bayesian estimation of Gegenbauer processes

摘要

This paper examines via a simulation study the effectiveness of a number of estimation methods for Gegenbauer seasonal persistent processes. The key result shows that an application of Bayesian methodology returns one of the most accurate estimation methods, in terms of recovering the original process parameters, combined with a substantial reduction in evaluation time over an exact likelihood method.