Borgwardt, KM and Ghahramani, Z (2009) Bayesian two-sample tests.Full text not available from this repository.
In this paper, we present two classes of Bayesian approaches to the two-sample problem. Our first class of methods extends the Bayesian t-test to include all parametric models in the exponential family and their conjugate priors. Our second class of methods uses Dirichlet process mixtures (DPM) of such conjugate-exponential distributions as flexible nonparametric priors over the unknown distributions.
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Cron Job|
|Date Deposited:||28 Oct 2011 17:07|
|Last Modified:||03 Dec 2012 01:03|
Actions (login required)