University of Cambridge > Talks.cam > Inference Group > Robust Gaussian Process Regression and Applications

Robust Gaussian Process Regression and Applications

Download to your calendar using vCal

If you have a question about this talk, please contact Oliver Stegle .

The Gaussian Process Prior is very flexible, easy to use, and gives excellent results for many regression problems. As soon as we try to tackle real world data the non-gaussianity of nature and noise often makes it more difficult to adopt the GP scheme. I will discuss some non-Gaussian likelihood models to solve this in the context of an application to physiological heart-rate data.

This is work in progress.

This talk is part of the Inference Group series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

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