162 citations · 334 across the 13 of their papers we have counts for
14 papers
Principled Estimation and Prediction with Competing Risks: a Bayesian Nonparametric Approach
Claudio Del Sole, Antonio Lijoi, Igor Prünster
Competing risks occur in survival analysis when multiple causes of death are present. They play a prominent role in several domains extending beyond biostatistics to encompass epid…
Markov Stick-breaking Processes
María F. Gil-Leyva, Antonio Lijoi, Ramsés H. Mena +1
Stick-breaking has a long history and is one of the most popular procedures for constructing random discrete distributions in Statistics and Machine Learning. In particular, due to…
Partially exchangeable stochastic block models for (node-colored) multilayer networks
Daniele Durante, Francesco Gaffi, Antonio Lijoi +1
Multilayer networks generalize single-layered connectivity data in several directions. These generalizations include, among others, settings where multiple types of edges are obser…
Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes
Beatrice Franzolini, Antonio Lijoi, Igor Prünster
Hypertensive disorders of pregnancy occur in about 10% of pregnant women around the world. Though there is evidence that hypertension impacts maternal cardiac functions, the relati…
Flexible clustering via hidden hierarchical Dirichlet priors
Antonio Lijoi, Igor Prünster, Giovanni Rebaudo
The Bayesian approach to inference stands out for naturally allowing borrowing information across heterogeneous populations, with different samples possibly sharing the same distri…
A Wasserstein index of dependence for random measures
Marta Catalano, Hugo Lavenant, Antonio Lijoi +1
Optimal transport and Wasserstein distances are flourishing in many scientific fields as a means for comparing and connecting random structures. Here we pioneer the use of an optim…