University of Edinburgh
School of Mathematics and BioSS
Date: Friday 16th June, 15:05 Location: JCMB 6201
Speaker: Maria De Iorio, University College London
Title: Dependent Generalised Dirichlet Process Priors
Abstract:
We propose a novel Bayesian nonparametric process prior for modelling a collections of
random discrete distributions. This process is defined by combining a Generalised Dirichlet
Process with a suitable Beta regression framework that introduces dependence among the
discrete random distributions. This strategy allows for covariate dependent clustering of the
observations. Some advantages of the proposed approach include wide applicability, ease of
interpretation and efficient MCMC algorithms. The methodology is illustrated through two
real data applications involving acute lymphoblastic leukaemia and London primary schools
quality evaluations.
This seminar is a part of Maxwell Institute seminar series.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|