3 papers
stat.ME2026
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.…
stat.ME2024
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…
stat.ME2024
Control Variate-based Stochastic Sampling from the Probability Simplex
Francesco Barile, Christopher Nemeth
This paper presents a control variate-based Markov chain Monte Carlo algorithm for efficient sampling from the probability simplex, with a focus on applications in large-scale Baye…