Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter-Reference-Cited by-同舟云学术

Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter

Published:2016-12 Issue:12 Volume:26 Page:123103
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

McCullough Michael¹^ORCID,Sakellariou Konstantinos¹,Stemler Thomas¹²^ORCID,Small Michael¹²³^ORCID

Affiliation:

1. School of Mathematics and Statistics, The University of Western Australia, Crawley, Western Australia 6009, Australia

2. Complex Data Modelling Group, Faculty of Engineering, Computing and Mathematics, The University of Western Australia, Crawley, Western Australia 6009, Australia

3. Mineral Resources, CSIRO, Kensington, Western Australia 6151, Australia

Funder

Australian Research Council (ARC)

Publisher

AIP Publishing

Subject

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

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4968551

Reference15 articles.

1. Nonlinear time-series analysis revisited

2. True and false forbidden patterns in deterministic and random dynamics

3. Studies in astronomical time series analysis. II - Statistical aspects of spectral analysis of unevenly spaced data

4. DEFINITION OF DISTANCE FOR MARKED POINT PROCESS DATA AND ITS APPLICATION TO RECURRENCE PLOT-BASED ANALYSIS OF EXCHANGE TICK DATA OF FOREIGN CURRENCIES

5. R. Xia , O. Odemuyiwa , F. Murgatroyd , J. Gill , M. Malik , and A. J. Camm , in Proceedings of Computers in Cardiology (1992), pp. 307–310.

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