preprint · arXiv (Cornell University) · 2021
Differential Entropy Rate Characterisations of Long Range Dependent Processes
Andrew Feutrill, Matthew Roughan
Cited by 4Open access
Abstract
A quantity of interest to characterise continuous-valued stochastic processes is the differential entropy rate. The rate of convergence of many properties of LRD processes is slower than might be expected, based on the intuition for conventional processes, e.g. Markov processes. Is this also true of the entropy rate? In this paper we consider the properties of the differential entropy rate of stochastic processes that have an autocorrelation function that decays as a power law. We show that power law decaying processes with similar autocorrelation and spectral density functions, Fractional Gaussian Noise and ARFIMA(0,d,0), have different entropic properties, particularly for negatively correlated parameterisations. Then we provide an equivalence between the mutual information between past and future and the differential excess entropy for stationary Gaussian processes, showing the finiteness of this quantity is the boundary between long and short range dependence. Finally, we analyse the convergence of the conditional entropy to the differential entropy rate and show that for short range dependence that the rate of convergence is of the order $O(n^{-1})$, but it is slower for long range dependent processes and depends on the Hurst parameter.
Cite this paper
Feutrill, A., & Roughan, M. (2021). Differential Entropy Rate Characterisations of Long Range Dependent Processes. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2102.05306
Feutrill, Andrew, and Matthew Roughan. “Differential Entropy Rate Characterisations of Long Range Dependent Processes.” arXiv (Cornell University), 2021, https://doi.org/10.48550/arxiv.2102.05306.
Feutrill, Andrew, and Matthew Roughan. 2021. “Differential Entropy Rate Characterisations of Long Range Dependent Processes.” arXiv (Cornell University). https://doi.org/10.48550/arxiv.2102.05306.
Feutrill, A. and Roughan, M. (2021) ‘Differential Entropy Rate Characterisations of Long Range Dependent Processes’, arXiv (Cornell University). Available at: https://doi.org/10.48550/arxiv.2102.05306.
@misc{feutrill2021differential,
title = {{Differential Entropy Rate Characterisations of Long Range Dependent Processes}},
author = {Feutrill, Andrew and Roughan, Matthew},
journal = {arXiv (Cornell University)},
year = {2021},
doi = {10.48550/arxiv.2102.05306}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.