Jim Griffin - Survival regression models with dependent Bayesian nonparametric priors
|Starts:||14:00 20 Oct 2021|
|Ends:||15:00 20 Oct 2021|
|What is it:||Seminar|
|Organiser:||Department of Mathematics|
|Who is it for:||University staff, External researchers, Current University students|
|Speaker:||Professor Jim Griffin|
Professor Jim Griffin, Professor of Statistical Science at the Department of Statistical Science at University College London is our speaker for the Statistics seminar series.
Title: Survival regression models with dependent Bayesian nonparametric priors
Abstract: I will present a novel Bayesian nonparametric model for regression in survival analysis. The model builds on the neutral to the right model of Doksum (1974) and on the Cox proportional hazards model of Kim and Lee (2003). The use of a vector of dependent Bayesian nonparametric priors allows us to efficiently model the hazard as a function of covariates whilst allowing non-proportionality. Properties of the model and inference schemes will be discussed. The method will be illustrated using simulated and real data.
Professor Jim Griffin
Organisation: University College London
Travel and Contact Information
Zoom link: https://zoom.us/j/92947173491