Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling.
Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling.
Konstantinos Sakellariou,Michael McCullough,T. Stemler,M. Small
2016 · DOI: 10.1063/1.4970483
Chaos · 37 Citations
TLDR
It is found that sampling in the presence of large chronological gaps can still yield relatively accurate estimates as long as the time series contains sufficiently many densely sampled areas, and that the reliability of the estimator of forbidden patterns is poor when there is a high number of sampling intervals.