11 citations · 11 across the 3 of their papers we have counts for
4 papers
Informed Bayesian Finite Mixture Models via Asymmetric Dirichlet Priors
Garritt L. Page, Massimo Ventrucci, Maria Franco-Villoria
Finite mixture models are flexible methods that are commonly used for model-based clustering. A recent focus in the model-based clustering literature is to highlight the difference…
Variance partitioning in spatio-temporal disease mapping models
Maria Franco-Villoria, Massimo Ventrucci, Håvard Rue
Bayesian disease mapping, yet if undeniably useful to describe variation in risk over time and space, comes with the hurdle of prior elicitation on hard-to-interpret random effect…
A unified view on Bayesian varying coefficient models
Maria Franco-Villoria, Massimo Ventrucci, Håvard Rue
Varying coefficient models are useful in applications where the effect of the covariate might depend on some other covariate such as time or location. Various applications of these…
Bootstrap based uncertainty bands for prediction in functional kriging
Maria Franco-Villoria, Rosaria Ignaccolo
The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored…