Borgwardt, KM and Ghahramani, Z Bayesian two-sample tests. (Unpublished)Full text not available from this repository.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.
|Uncontrolled Keywords:||cs.LG cs.LG|
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Unnamed user with email email@example.com|
|Date Deposited:||09 Dec 2016 18:28|
|Last Modified:||01 May 2017 05:13|