Autoregressive Times Series Methods for Time Domain Astronomy

Autoregressive Times Series Methods for Time Domain Astronomy

Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series in statistics—parametric autoregressive modeling—are rarely used to interpret astronomical light curves. We review standard ARMA, ARIMA, an...

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Bibliographic Details
Main Authors: Eric D. Feigelson, G. Jogesh Babu, Gabriel A. Caceres
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Physics
Subjects:
time domain astronomy
irregularly sampled time series
variable stars
quasars
statistical methods
time series analysis
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2018.00080/full

Internet

https://www.frontiersin.org/article/10.3389/fphy.2018.00080/full

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