162 citations · 621 across the 32 of their papers we have counts for
11 papers · 1 filter
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…
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…
Restricted mean survival times for comparing grouped survival data: a Bayesian nonparametric approach
Alan Riva-Palacio, Fabrizio Leisen, Antonio Lijoi
Comparing survival experiences of different groups of data is an important issue in several applied problems. A typical example is where one wishes to investigate treatment effects…
Nonparametric priors with full-range borrowing of information
Filippo Ascolani, Beatrice Franzolini, Antonio Lijoi +1
Modeling of the dependence structure across heterogeneous data is crucial for Bayesian inference since it directly impacts the borrowing of information. Despite the extensive advan…
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…