Robust Gaussian Process Regression and Applications
- đ¤ Speaker: Oliver Stegle
- đ Date & Time: Wednesday 13 December 2006, 14:00 - 15:00
- đ Venue: TCM Seminar Room, Cavendish Laboratory, Department of Physics
Abstract
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.
Series This talk is part of the Inference Group series.
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Wednesday 13 December 2006, 14:00-15:00