162 citations · 621 across the 32 of their papers we have counts for
34 papers
Ferguson's Dirichlet Process Breakthrough: A Lasting Legacy
Antonio Lijoi, Igor Pruenster, Junyi Zhang
Ferguson's 1973 introduction of the Dirichlet process marked a breakthrough in Bayesian nonparametric statistics. For the first time, a prior on the space of probability measures f…
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…
Multivariate Species Sampling Models
Beatrice Franzolini, Antonio Lijoi, Igor Prünster +1
Species sampling processes have long served as the fundamental framework for modeling random discrete distributions and exchangeable sequences. However, data arising from distinct…
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…