A Bayesian approach to discrete object detection in astronomical data sets

Monthly Notices of the Royal Astronomical Society

Volumn 338, Issue 3, 2003, Pages 765-784

  Hobson, M P ^a   McLachlan, C ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Cosmic microwave background; Methods: Data analysis; Methods: Statistical

Indexed keywords

BAYESIAN NETWORKS; GLOBAL OPTIMIZATION; ITERATIVE METHODS; LINEAR PROGRAMMING; MARKOV PROCESSES; MONTE CARLO METHODS; OBJECT DETECTION; OBJECT RECOGNITION; SIMULATED ANNEALING; TOYS;

ASTRONOMICAL DATA; BAYESIAN APPROACHES; COSMIC MICROWAVES BACKGROUND; DATA SET; DIFFUSE BACKGROUND; DISCRETE OBJECTS; ITERATIVE DETECTION; METHODS. DATA ANALYSIS; METHODS:STATISTICAL; POSTERIOR DISTRIBUTIONS;

COSMOLOGY;

EID: 0141976664     PISSN: 00358711     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-8711.2003.06094.x     Document Type: Article

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