Abstract
We discuss Rubio and Steel (2014). We discuss whether Jeffreys priors are worth the attention given to them, then move on to discuss the concepts of valid Bayesian inference and benchmark Bayesian inference. We briefly investigate the skew-normal and skew-t(4) models for variables in the Australian Institute of Sport (AIS) data to investigate the range of estimates that occur for the skewness parameter. The discussion closes by wondering whether we shouldn’t just use a Dirichlet Process Mixture instead of a skew-normal or skew-t.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
