The study of almost surely discrete random probability measures is an ac...
Species-sampling problems (SSPs) refer to a vast class of statistical
pr...
Posterior contractions rates (PCRs) strengthen the notion of Bayesian
co...
In the 1920's, the English philosopher W.E. Johnson introduced a
charact...
Gibbs-type priors are widely used as key components in several Bayesian
...
There is a growing interest in the estimation of the number of unseen
fe...
Post Randomization Methods (PRAM) are among the most popular disclosure
...
The use of high-dimensional data for targeted therapeutic interventions
...
While the cost of sequencing genomes has decreased dramatically in recen...
The problem of maximizing cell type discovery under budget constraints i...
Feature models are popular in machine learning and they have been recent...
Feature allocation models generalize species sampling models by allowing...
Protection against disclosure is a legal and ethical obligation for agen...
Given n samples from a population of individuals belonging to different
...
Discrete random structures are important tools in Bayesian nonparametric...