Crowdsourced smartphone-based earthquake early warning systems recently
...
The study of almost surely discrete random probability measures is an ac...
A model-based approach is developed for clustering categorical data with...
Motivated by the problem of accurately predicting gap times between
succ...
Precision medicine is an approach for disease treatment that defines
tre...
Within the framework of Gaussian graphical models, a prior distribution ...
Motivated by the analysis of spectrographic data, we introduce a functio...
The use of statistical methods in sport analytics has gained a rapidly
g...
Repulsive mixture models have recently gained popularity for Bayesian cl...
In professional tennis, it is often acknowledged that the server has an
...
Mixture models are one of the most widely used statistical tools when de...