Apply to be<br> considered for a student <br> award (Yes / No)?
Level for award<br> (Hons, MSc, <br> PhD)?
Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?
Abstract content <br> (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>
Constructing reference priors for parameter spaces usually results in a proliferation of metaparameters. Bayes Factors, for example, require proper priors, and the usual class of ignorance priors then necessarily results in two metaparameters for every parameter, namely an upper and lower bound. With the goal of reducing the number of
metaparameters, we replace ignorance priors by stable priors which are based on a stability property and consistent transformations between the parameters. We illustrate the procedure with an example from High-Energy Physics where we use Bayes Factors with stable priors to compare different parametrisations.
Main supervisor (name and email)<br>and his / her institution
Prof. Hans Eggers
University of Stellenbosch