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SUMMARY:Detecting Exoplanets using Bayesian Object Detection - Farhan Fero
 z (Cavendish/DAMTP)
DTSTART:20140604T153000Z
DTEND:20140604T163000Z
UID:TALK51294@talks.cam.ac.uk
CONTACT:Dr B.-O. Demory
DESCRIPTION:Detecting objects from noisy data-sets is common practice in a
 strophysics. Object detection presents a particular challenge in terms of 
 statistical inference\, not only because of its multi-modal nature but als
 o because it combines both the parameter estimation (for characterizing ob
 jects) and model selection problems (in order to quantify the detection). 
 Bayesian inference provides a mathematically rigorous solution to this pro
 blem by calculating marginal posterior probabilities of models with differ
 ent number of objects. I will discuss several Bayesian approaches to objec
 t detection problems and describe some recent applications these methods i
 n the detection of exoplanets.
LOCATION:Martin Ryle Seminar Room\, Kavli Institute
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