Note on AR(1)-characterisation of stationary processes and model fitting

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • University of Helsinki

Abstract

It was recently proved that any strictly stationary stochastic process can be viewed as an autoregressive process of order one with coloured noise. Furthermore, it was proved that, using this characterisation, one can define closed form estimators for the model parameter based on autocovariance estimators for several different lags. However, this estimation procedure may fail in some special cases. In this article, a detailed analysis of these special cases is provided. In particular, it is proved that these cases correspond to degenerate processes.

Details

Original languageEnglish
Pages (from-to)195-207
Number of pages13
JournalModern Stochastics: Theory and Applications
Volume6
Issue number2
Publication statusPublished - Jun 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • AR(1)-characterisation, stationary processes, covariance functions

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