Discrete-time autoregressive model for unequally spaced time-series observations

An irregular discrete time series model to identify residuals with autocorrelation in astronomical light curves

(2018) Susana Eyheramendy et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

A machine learned classifier for RR Lyrae in the VVV survey

(2016) Felipe Elorrieta et al.   ASTRONOMY & ASTROPHYSICS

A machine learned classifier for RR Lyrae in the VVV survey

(2016) Felipe Elorrieta et al.   ASTRONOMY & ASTROPHYSICS

Long-term monitoring of the archetype Seyfert galaxy MCG-6-30-15: X-ray, optical and near-IR variability of the corona, disc and torus

(2015) P. Lira et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

FLEXIBLE AND SCALABLE METHODS FOR QUANTIFYING STOCHASTIC VARIABILITY IN THE ERA OF MASSIVE TIME-DOMAIN ASTRONOMICAL DATA SETS

(2014) Brandon C. Kelly et al.   ASTROPHYSICAL JOURNAL

ON MACHINE-LEARNED CLASSIFICATION OF VARIABLE STARS WITH SPARSE AND NOISY TIME-SERIES DATA

(2011) Joseph W. Richards et al.   ASTROPHYSICAL JOURNAL

The generalised Lomb-Scargle periodogram

(2009) M. Zechmeister et al.   ASTRONOMY & ASTROPHYSICS

On continuous-time autoregressive fractionally integrated moving average processes

(2009) Henghsiu Tsai   BERNOULLI