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stat.ME2023★ 5 cited
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…
stat.ME2020
Predictive inference with Fleming--Viot-driven dependent Dirichlet processes
Filippo Ascolani, Antonio Lijoi, Matteo Ruggiero
We consider predictive inference using a class of temporally dependent Dirichlet processes driven by Fleming--Viot diffusions, which have a natural bearing in Bayesian nonparametri…