Wavelet entropy-based evaluation of intrinsic predictability of time series-Reference-Cited by-同舟云学术

Wavelet entropy-based evaluation of intrinsic predictability of time series

Published:2020-03 Issue:3 Volume:30 Page:033117
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Guntu Ravi Kumar¹^ORCID,Yeditha Pavan Kumar²^ORCID,Rathinasamy Maheswaran²^ORCID,Perc Matjaž³⁴⁵^ORCID,Marwan Norbert⁶^ORCID,Kurths Jürgen⁶⁷,Agarwal Ankit¹^ORCID

Affiliation:

1. Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee 247667, India

2. Department of Civil Engineering, MVGR College of Engineering, Vizianagaram 535005, India

3. Faculty of Natural Sciences and Mathematics, University of Maribor, 2000 Maribor, Slovenia

4. Center for Applied Mathematics and Theoretical Physics, University of Maribor, 2000 Maribor, Slovenia

5. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan

6. Potsdam Institute for Climate Impact Research, Telegrafenberg, 14412 Potsdam, Germany

7. Institute of Physics, Humboldt University, 12489 Berlin, Germany

Funder

Science and Engineering Research Board

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5145005

Reference63 articles.

1. Atmospheric Predictability as Revealed by Naturally Occurring Analogues

2. The intrinsic predictability of ecological time series and its potential to guide forecasting

3. The limits to prediction in ecological systems

4. E. N. Lorenz, inPredictability of Weather and Climate, edited by T. Palmer and R. Hagedorn (Cambridge University Press, Cambridge, 1995), pp. 40–58.

5. A comparative classification of complexity measures

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying predictive knowledge: Wavelet energy α-divergence measure for time series uncertainty reduction;Chaos, Solitons & Fractals;2024-11

2. Improving deep learning-based streamflow forecasting under trend varying conditions through evaluation of new wavelet preprocessing technique;Stochastic Environmental Research and Risk Assessment;2024-08-05

3. CTF-former: A novel simplified multi-task learning strategy for simultaneous multivariate chaotic time series prediction;Neural Networks;2024-06

4. Evaluation of the performance of satellite products and microphysical schemes with the aim of forecasting early flood warnings in arid and semi-arid regions (a case study of northeastern Iran);Natural Hazards;2024-05-24

5. Studying the impact of fluctuations, spikes and rare events in time series through a wavelet entropy predictability measure;Physica A: Statistical Mechanics and its Applications;2024-05