Exhausting the information: Novel Bayesian combination of photometric redshift PDFs

Monthly Notices of the Royal Astronomical Society

Volumn 442, Issue 4, 2014, Pages 3380-3399

  Kind, Matias Carrasco ^a   Brunner, Robert J ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Galaxies: distances and redshifts; Galaxies: statistics; Methods: data analysis; Methods: statistical; Surveys

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; CONFORMAL MAPPING; DECISION TREES; IMAGE ENHANCEMENT; PHOTOMETRY; PROBABILITY DENSITY FUNCTION; SELF ORGANIZING MAPS; STATISTICS; SUPERVISED LEARNING;

BAYESIAN COMBINATION; BAYESIAN FRAMEWORKS; GALAXIES DISTANCES AND REDSHIFTS; GALAXIES: STATISTICS; METHODS. DATA ANALYSIS; METHODS:STATISTICAL; PHOTOMETRIC DATA; PHOTOMETRICS; RED SHIFT; ROBUST ESTIMATE;

SURVEYS;

EID: 84904543733     PISSN: 00358711     EISSN: 13652966     Source Type: Journal    
DOI: 10.1093/mnras/stu1098     Document Type: Article

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