More accurately simulating how the heart functions and screening for side-effects of new drugs are just two results that have sprung from a collaboration between Australian and British scientists.
In this project we consider the challenging task of developing fully Bayesian sparse analyses for the situations when the numbers of predictors is larger than observations for complex responses and covariates grouped by blocks with the sparsity for blocks and cases.
