Dirichlet process mixtures are flexible non-parametric models, particula...
We study the distribution of the unobserved states of two measure-valued...
Hypertensive disorders of pregnancy occur in about 10
around the world. ...
The Bayesian approach to inference stands out for naturally allowing
bor...
Robust statistical data modelling under potential model mis-specificatio...
Nonparametric latent structure models provide flexible inference on dist...
Discrete Bayesian nonparametric models whose expectation is a convex lin...
We consider predictive inference using a class of temporally dependent
D...
Consider a list of labeled objects that are organized in a heap. At each...
Discrete random structures are important tools in Bayesian nonparametric...