108 citations · 564 across the 27 of their papers we have counts for
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stat.CO2020★ 1 cited
Scalable computation of predictive probabilities in probit models with Gaussian process priors
Jian Cao, Daniele Durante, Marc G. Genton
Predictive models for binary data are fundamental in various fields, and the growing complexity of modern applications has motivated several flexible specifications for modeling th…
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…