196 citations · 467 across the 11 of their papers we have counts for
11 papers
Novel SIMEX algorithm for autoregressive models to estimate AGN variability
Felipe Elorrieta, Wilfredo Palma, Susana Eyheramendy +2
The origin of the variability in accretion disks of active galactic nuclei (AGN) is still unknown, but its behavior can be characterized by modeling the time series of optical wave…
Online estimation methods for irregular autoregressive models
Felipe Elorrieta, Lucas Osses, Matias Cáceres +2
In the last decades, due to the huge technological growth observed, it has become increasingly common that a collection of temporal data rapidly accumulates in vast amounts. This p…
A Novel First-Order Autoregressive Moving Average Model to Analyze Discrete-Time Series Irregularly Observed
Cesar Ojeda, Wilfredo Palma, Susana Eyheramendy +1
A novel first-order autoregressive moving average model for analyzing discrete-time series observed at irregularly spaced times is introduced. Under Gaussianity, it is established…
An irregularly spaced first-order moving average model
Cesar Ojeda, Wilfredo Palma, Susana Eyheramendy +1
A novel first-order moving-average model for analyzing time series observed at irregularly spaced intervals is introduced. Two definitions are presented, which are equivalent under…
Novel bivariate autoregressive model for predicting and forecasting irregularly observed time series
Felipe Elorrieta, Susana Eyheramendy, Wilfredo Palma +1
In several disciplines it is common to find time series measured at irregular observational times. In particular, in astronomy there are a large number of surveys that gather infor…
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
F. Förster, G. Cabrera-Vives, E. Castillo-Navarrete +37
We introduce the Automatic Learning for the Rapid Classification of Events (ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self--consistent classifica…
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
P. Sánchez-Sáez, I. Reyes, C. Valenzuela +23
We present the first version of the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker light curve classifier. ALeRCE is currently processing the Zwicky Tran…
Discrete-time autoregressive model for unequally spaced time-series observations
Felipe Elorrieta, Susana Eyheramendy, Wilfredo Palma
Most time-series models assume that the data come from observations that are equally spaced in time. However, this assumption does not hold in many diverse scientific fields, such…
An irregular discrete time series model to identify residuals with autocorrelation in astronomical light curves
Susana Eyheramendy, Felipe Elorrieta, Wilfredo Palma
Time series observations are ubiquitous in astronomy, and are generated to distinguish between different types of supernovae, to detect and characterize extrasolar planets and to c…
A Near-infrared RR Lyrae census along the southern Galactic plane: the Milky Way's stellar fossil brought to light
István Dékány, Gergely Hajdu, Eva K. Grebel +5
RR Lyrae stars (RRLs) are tracers of the Milky Way's fossil record, holding valuable information on its formation and early evolution. Owing to the high interstellar extinction end…
A machine learned classifier for RR Lyrae in the VVV survey
Felipe Elorrieta, Susana Eyheramendy, Andrés Jordán +10
Variable stars of RR Lyrae type are a prime tool to obtain distances to old stellar populations in the Milky Way, and one of the main aims of the Vista Variables in the Via Lactea…