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October 1996
Period determination using phase dispersion minimization
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September 1978
Studies in astronomical time series analysis. II - Statistical aspects of spectral analysis of unevenly spaced data
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December 1982
A new method for the detection of a periodic signal of unknown shape and period
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October 1992
Astronomical Time Series Analysis. I. A Search for Periodicity Using Information Entropy
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August 1995
Variability of CGRO /EGRET Gamma‐Ray Sources
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December 1996
ASCA Observations of Seyfert 1 Galaxies. I. Data Analysis, Imaging, and Timing
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February 1997
Statistics, Handle with Care: Detecting Multiple Model Components with the Likelihood Ratio Test
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May 2002
K ‐Corrections and Extinction Corrections for Type Ia Supernovae
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August 2002
Photometric Variability at the L/T Dwarf Boundary
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August 2003
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Improved Distances to Type Ia Supernovae with Multicolor Light‐Curve Shapes: MLCS2k2
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April 2007
SiFTO: An Empirical Method for Fitting SN Ia Light Curves
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SNANA: A Public Software Package for Supernova Analysis
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September 2009
Results from the Supernova Photometric Classification Challenge
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https://doi.org/10.1086/657607
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Optimizing Automated Classification of Variable Stars in New Synoptic Surveys
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Optimal Time-Series Selection of Quasars
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PHOTOMETRIC TYPE Ia SUPERNOVA CANDIDATES FROM THE THREE-YEAR SDSS-II SN SURVEY DATA
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Nonparametric Bayesian Estimation of Periodic Light Curves
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Studies in Astronomical time Series Analysis. vi. Bayesian Block Representations
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Periodograms for Multiband Astronomical time Series
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Photometric Study on Stellar Magnetic Activity. i. Flare Variability of red Dwarf Stars in the open Cluster m37
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CONSTRUCTION OF A CALIBRATED PROBABILISTIC CLASSIFICATION CATALOG: APPLICATION TO 50k VARIABLE SOURCES IN THE ALL-SKY AUTOMATED SURVEY
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Photometric Characterization of the Dark Energy Camera
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Stochastic Modeling Handbook for Optical AGN Variability
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RAPID: Early Classification of Explosive Transients Using Deep Learning
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Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
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Kernel PCA for Type Ia supernovae photometric classification
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February 2014
Discovery of ∼9000 new RR Lyrae in the southern Catalina surveys
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Extreme-value modelling for the significance assessment of periodogram peaks
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sidra: a blind algorithm for signal detection in photometric surveys
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Comparative performance of selected variability detection techniques in photometric time series data
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STACCATO: a novel solution to supernova photometric classification with biased training sets
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Machine learning search for variable stars
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The ASAS-SN catalogue of variable stars I: The Serendipitous Survey
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The ASAS-SN catalogue of variable stars – V. Variables in the Southern hemisphere
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The ASAS-SN Catalog of Variable Stars II: Uniform Classification of 412,000 Known Variables
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Statistics, Data Mining, and Machine Learning in Astronomy
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FINDING, CHARACTERIZING, AND CLASSIFYING VARIABLE SOURCES IN MULTI-EPOCH SKY SURVEYS: QSOs AND RR LYRAE IN PS1 3 π DATA
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FATS: Feature Analysis for Time Series
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Deep-Learnt Classification of Light Curves
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Difference Image Analysis of the OGLE-II Bulge Data. I. The Method
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