Detecting variability in massive astronomical time series data-i. application of an infinite gaussian mixture model

Monthly Notices of the Royal Astronomical Society

Volumn 400, Issue 4, 2009, Pages 1897-1910

  Shin, Min Su ^a   Sekora, Michael ^b   Byun, Yong Ik ^c  

^a PRINCETON UNIVERSITY OBSERVATORY   (United States)

^b PRINCETON UNIVERSITY   (United States)

^c Yonsei University   (South Korea)

Author keywords

Methods: data analysis; Methods: statistical; Stars: variables: other

Indexed keywords

GAUSSIAN DISTRIBUTION; OBJECT DETECTION; SURVEYS; TELESCOPES; TIME SERIES; TIME SERIES ANALYSIS;

DIRICHLET PROCESS; EXTRACT INFORMATIONS; INFINITE GAUSSIAN MIXTURE MODELS; METHODS. DATA ANALYSIS; METHODS:STATISTICAL; NON PARAMETRIC BAYESIAN CLUSTERING; STAR: VARIABLE: OTHER; STARS: VARIABLES; TIME-SERIES DATA; VARIABILITY INDEX;

CLUSTERING ALGORITHMS;

EID: 71649097912     PISSN: 00358711     EISSN: 13652966     Source Type: Journal    
DOI: 10.1111/j.1365-2966.2009.15576.x     Document Type: Article

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