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Efficient Bayesian inference for multiple network data

Year: 2026
Type: preprint
Abstract: 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. In simulations, both Gibbs sampling and empirical Bayes accurately recover network summaries, with the latter scaling efficiently with network size. As a companion to this note, we provide the R package BayesCER, which implements the proposed methodology.
Language: English
Open Access status: green
OpenAlex ID: W7215947305
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