The autoregressive metric for comparing time series models

The AR metric was firstly introduced in 1983 for clustering time series data. The measure has been applied in various fields of research leading to significant results and applications. The metric allows for time series comparison in an inferential framework since the asymptotic distribution is known. This article discusses the main methodological aspects and statistical properties of the AR metric and compares it with other dissimilarity criteria.