Time Series Analysis of Data With Gaps

Details Time Series Analysis of Data With Gaps Time Series Analysis of Data With Gaps

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010fym..confe..26s&link_type=abstract

"The First Year of MAXI: Monitoring Variable X-ray Sources", 4th International MAXI Workshop held November 30 - December 2, 2010

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Scientific paper

The presence of gaps in the time series means that some of the standard methods of analysis cannot be used, but do not necessarily mean that the full information content cannot be retrieved. In addition, there exist analysis methods that effectively account for not only gaps in otherwise evenly sampled data, but also for the case where the sampling is at arbitrary times. I will review methods for computing correlation function, power spectra (both Fourier and Wavelet), structure functions, and time-scale and time-frequency distributions - all of these can be computed in but auto- (single time series) as well as cross- (two or more time series) modes.

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