Thursday 19 Jan 2017Statistical Science Seminar: Dependent Generalised Dirichlet Process Priors

Maria De lorio - University College London

H101 15:00-16:30


We propose a novel Bayesian nonparametric process prior for modelling a collections of



random discrete distributions. This process is defined by combining a Generalised Dirich-



let 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.


Add to calendar

Add to calendar (.ics)