Genome-wide association studies often face the undesirable result of either failing to detect any influential markers at all because of a stringent level for testing ...

In this paper, we introduce a Bayesian approach for clustering data using a sparse finite mixture model (SFMM). The SFMM is a finite mixture model with a large number of components k previously fixed ...