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The Elliptical Ornstein-Uhlenbeck Process

Research output: Contribution to journalJournal article

<mark>Journal publication date</mark>16/01/2020
Number of pages19
Publication StatusPublished
<mark>Original language</mark>English


We introduce the elliptical Ornstein-Uhlenbeck (OU) process, which is a generalisation of the well-known univariate OU process to bivariate time series. This process maps out elliptical stochastic oscillations over time in the complex plane, which are observed in many applications of coupled bivariate time series. The appeal of the model is that elliptical oscillations are generated using one simple first order SDE, whereas alternative models require more complicated vectorised or higher order SDE representations. The second useful feature is that parameter estimation can be performed robustly in the frequency domain using only the modelled and observed power spectral density, without having to model and compute cross spectra of individual time series components. We determine properties of the model including the conditions for stationarity, and the geometrical structure of the elliptical oscillations. We demonstrate the utility of the model by measuring periodic and elliptical properties of Earth's polar motion.