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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…
stat.AP2024
Modelling between- and within-season trajectories in elite athletic performance data
M. Spyropoulou, J. G. Hopker, J. E. Griffin
Athletic performance follows a typical pattern of improvement and decline during a career. This pattern is also often observed within-seasons, as an athlete aims for their performa…
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…