Continuous-time locally stationary time series models

Annemarie Bitter; Robert Stelzer; Bennet Ströh

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arXiv · 2104.13796

Continuous-time locally stationary time series models

Annemarie Bitter·Robert Stelzer·Bennet Ströh

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Abstract

We adapt the classical definition of locally stationary processes in discrete-time to the continuous-time setting and obtain equivalent representations in the time and frequency domain. From this, a unique time-varying spectral density is derived using the Wigner-Ville spectrum. As an example, we investigate time-varying L\'evy-driven state space processes, including the class of time-varying L\'evy-driven CARMA processes. First, the connection between these two classes of processes is examined. Considering a sequence of time-varying L\'evy-driven state space processes, we then give sufficient conditions on the coefficient functions that ensure local stationarity with respect to the given definition.

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BibTeX RIS

Annemarie Bitter, Robert Stelzer, Bennet Ströh. 2021-04-28. Continuous-time locally stationary time series models. https://arxiv.org/abs/2104.13796

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