31 citations · 78 across the 14 of their papers we have counts for
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stat.ME2021★ 8 cited
Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
Giovanni Rebaudo, Qiaohui Lin, Peter Mueller
We argue for the use of separate exchangeability as a modeling principle in Bayesian nonparametric (BNP) inference. Separate exchangeability is \emph{de facto} widely applied in th…
stat.CO2021
Variational Inference for the Smoothing Distribution in Dynamic Probit Models
Augusto Fasano, Giovanni Rebaudo
Recently, Fasano, Rebaudo, Durante and Petrone (2019) provided closed-form expressions for the filtering, predictive and smoothing distributions of multivariate dynamic probit mode…