4 citations · 10 across the 16 of their papers we have counts for
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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…
stat.ME2023
Sequential Gibbs Posteriors with Applications to Principal Component Analysis
Steven Winter, Omar Melikechi, David B. Dunson
Gibbs posteriors are proportional to a prior distribution multiplied by an exponentiated loss function, with a key tuning parameter weighting information in the loss relative to th…