162 citations · 621 across the 32 of their papers we have counts for
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Clustering consistency with Dirichlet process mixtures
Filippo Ascolani, Antonio Lijoi, Giovanni Rebaudo +1
Dirichlet process mixtures are flexible non-parametric models, particularly suited to density estimation and probabilistic clustering. In this work we study the posterior distribut…
Smoothing distributions for conditional Fleming-Viot and Dawson-Watanabe diffusions
Filippo Ascolani, Antonio Lijoi, Matteo Ruggiero
We study the distribution of the unobserved states of two measure-valued diffusions of Fleming-Viot and Dawson-Watanabe type, conditional on observations from the underlying popula…
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…