University of Cambridge > Talks.cam > Exoplanet Meetings > Detecting Exoplanets using Bayesian Object Detection

Detecting Exoplanets using Bayesian Object Detection

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Dr B.-O. Demory.

Detecting objects from noisy data-sets is common practice in astrophysics. Object detection presents a particular challenge in terms of statistical inference, not only because of its multi-modal nature but also because it combines both the parameter estimation (for characterizing objects) and model selection problems (in order to quantify the detection). Bayesian inference provides a mathematically rigorous solution to this problem by calculating marginal posterior probabilities of models with different number of objects. I will discuss several Bayesian approaches to object detection problems and describe some recent applications these methods in the detection of exoplanets.

This talk is part of the Exoplanet Meetings series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity