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

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Detecting Exoplanets using Bayesian Object Detection

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 Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Hybrid: in-person in Cambridge & online via Teams https://zoom.us/j/94128601767?pwd=UklLN2h5ZGNVL3BMYVNqdXh3djRXZz09 JCBS Jesus College Biological Society

Other talks

Online Causal Inference Semina Pancreatic cancer - the clinical challenge;  Why the microenvironment matters during pancreatic cancer progression and treatment Organiser's Welcome Talk TBC Title tbc The spread of environmental cost-benefit analysis in UK government, c.1966-1995: representing the public in the Anthropocene
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity