19 citations · 66 across the 21 of their papers we have counts for
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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.ME2017
Convex Mixture Regression for Quantitative Risk Assessment
Antonio Canale, Daniele Durante, David Dunson
There is wide interest in studying how the distribution of a continuous response changes with a predictor. We are motivated by environmental applications in which the predictor is…