37 citations · 85 across the 10 of their papers we have counts for
5 papers · 1 filter
Omitting continuous covariates in binary regression models: implications for sensitivity and mediation analysis
Matteo Gasparin, Bruno Scarpa, Elena Stanghellini
By exploiting the theory of skew-symmetric distributions, we generalise existing results in sensitivity analysis by providing the analytic expression of the bias induced by margina…
Enriched Pitman-Yor processes
Tommaso Rigon, Bruno Scarpa, Sonia Petrone
In Bayesian nonparametrics there exists a rich variety of discrete priors, including the Dirichlet process and its generalizations, which are nowadays well-established tools. Despi…
Bayesian inference on group differences in multivariate categorical data
Massimiliano Russo, Daniele Durante, Bruno Scarpa
Multivariate categorical data are common in many fields. We are motivated by election polls studies assessing evidence of changes in voters opinions with their candidates preferenc…
Bayesian nonparametric location-scale-shape mixtures
Antonio Canale, Bruno Scarpa
Discrete mixture models are one of the most successful approaches for density estimation. Under a Bayesian nonparametric framework, Dirichlet process location-scale mixture of Gaus…
Informative Bayesian inference for the skew-normal distribution
Antonio Canale, Bruno Scarpa
Motivated by the analysis of the distribution of university grades, which is usually asymmetric, we discuss two informative priors for the shape parameter of the skew-normal distri…