English

On Predictability of Time Series

Physics and Society 2019-03-27 v1 Data Analysis, Statistics and Probability

Abstract

The method to estimate the predictability of human mobility was proposed in [C. Song \emph{et al.}, Science {\bf 327}, 1018 (2010)], which is extensively followed in exploring the predictability of disparate time series. However, the ambiguous description in the original paper leads to some misunderstandings, including the inconsistent logarithm bases in the entropy estimator and the entropy-predictability-conversion equation, as well as the details in the calculation of the Lempel-Ziv estimator, which further results in remarkably overestimated predictability. This paper demonstrates the degree of overestimation by four different types of theoretically generated time series and an empirical data set, and shows the intrinsic deviation of the Lempel-Ziv estimator for highly random time series. This work provides a clear picture on this issue and thus helps researchers in correctly estimating the predictability of time series.

Keywords

Cite

@article{arxiv.1806.03876,
  title  = {On Predictability of Time Series},
  author = {Paiheng Xu and Likang Yin and Zhongtao Yue and Tao Zhou},
  journal= {arXiv preprint arXiv:1806.03876},
  year   = {2019}
}

Comments

5 pages, 5 figures

R2 v1 2026-06-23T02:25:33.481Z