Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling-Reference-Cited by-同舟云学术

Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling

Published:2016-12 Issue:12 Volume:26 Page:123104
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

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

Affiliation:

1. School of Mathematics and Statistics, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia

2. Complex Data Modelling Group, Faculty of Engineering, Computing and Mathematics, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia

3. Mineral Resources, CSIRO, Kensington, WA 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/10.1063/1.4970483

Reference23 articles.

1. Precise continuous monitoring of seismic velocity variations and their possible connection to solid Earth tides

2. Trends, rhythms and events in Plio-Pleistocene African climate

3. Comparison of correlation analysis techniques for irregularly sampled time series

4. Transient coupling relationships of the Holocene Australian monsoon

5. Further development and properties of the spectral analysis by least-squares

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