5 papers
Efficient Bayesian inference for multiple network data
Francesco Barile, Sara Capozio, Bernardo Nipoti
We investigate distributional properties of the centered Erdős--Rényi distribution (Lunagòmez et al., 2021) and propose a semi-conjugate Bayesian approach to multiple network data.…
A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries
Alice Giampino, Antonio Canale, Bernardo Nipoti
Several approaches have been proposed in the literature for clustering multivariate ordinal data. These methods typically treat missing values as absent information, rather than re…
Uncertainty quantification and multi-stage variable selection for personalized treatment regimes
Jiefeng Bi, Matteo Borrotti, Bernardo Nipoti
A dynamic treatment regime is a sequence of medical decisions that adapts to the evolving clinical status of a patient over time. To facilitate personalized care, it is crucial to…
Bayesian nonparametric modeling of heterogeneous populations of networks
Francesco Barile, Simón Lunagómez, Bernardo Nipoti
The increasing availability of multiple network data has highlighted the need for statistical models for heterogeneous populations of networks. A convenient framework makes use of…
Local Level Dynamic Random Partition Models for Changepoint Detection
Alice Giampino, Bernardo Nipoti, Marina Vannucci +1
Motivated by an increasing demand for models that can effectively describe features of complex multivariate time series, e.g. from sensor data in biomechanics, motion analysis, and…