Bayesian nonparametric mixture models represent a powerful statistical framework that extends traditional mixture modelling by allowing the number of mixture components to be inferred from the data ...

The Annals of Statistics, Vol. 48, No. 4 (August 2020), pp. 2277-2302 (26 pages) Motivated by problems in data clustering, we establish general conditions under which families of nonparametric mixture ...

In studying structural inter-connections in the human brain, it is common to first estimate fiber bundles connecting different regions relying on diffusion MRI. These fiber bundles act as highways for ...

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 ...