40 citations · 52 across the 19 of their papers we have counts for
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stat.ME2017★ 40 cited
Conditionally conjugate mean-field variational Bayes for logistic models
Daniele Durante, Tommaso Rigon
Variational Bayes (VB) is a common strategy for approximate Bayesian inference, but simple methods are only available for specific classes of models including, in particular, repre…
stat.CO2017★ 4 cited
A nested expectation-maximization algorithm for latent class models with covariates
Daniele Durante, Antonio Canale, Tommaso Rigon
We develop a nested EM routine for latent class models with covariates which allows maximization of the full-model log-likelihood and, differently from current methods, guarantees…
stat.CO2017
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors
Tommaso Rigon, Daniele Durante
There is a growing interest in learning how the distribution of a response variable changes with a set of predictors. Bayesian nonparametric dependent mixture models provide a flex…