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stat.ME2026
Bayesian variable and hazard structure selection in the General Hazard model
Yulong Chen, Jim Griffin, Francisco Javier Rubio
The proportional hazards (PH) and accelerated failure time (AFT) models are the most widely used hazard structures for analysing time-to-event data. When the goal is to identify va…
stat.ME2024
Expressing and visualizing model uncertainty in Bayesian variable selection using Cartesian credible sets
J. E. Griffin
Modern regression applications can involve hundreds or thousands of variables which motivates the use of variable selection methods. Bayesian variable selection defines a posterior…
stat.ME2024
Fast Bayesian inference in a class of sparse linear mixed effects models
M-Z. Spyropoulou, J. Hopker, J. E. Griffin
Linear mixed effects models are widely used in statistical modelling. We consider a mixed effects model with Bayesian variable selection in the random effects using spike-and-slab…