1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2025
Nonparametric predictive inference for discrete data via Metropolis-adjusted Dirichlet sequences
Davide Agnoletto, Tommaso Rigon, David B. Dunson
This article is motivated by challenges in conducting Bayesian inferences on unknown discrete distributions, with a particular focus on count data. To avoid the computational disad…
stat.ME2023★ 1 cited
Bayesian inference for generalized linear models via quasi-posteriors
Davide Agnoletto, Tommaso Rigon, David B. Dunson
Generalized linear models (GLMs) are routinely used for modeling relationships between a response variable and a set of covariates. The simple form of a GLM comes with easy interpr…