24 citations · 42 across the 9 of their papers we have counts for
12 papers
A Bayesian Spatially Varying Coefficient Model for Surface Urban Heat Island Estimation
Marika D'Agostini, Massimo Ventrucci, Francesca K. de'Donato +1
Surface urban heat islands (SUHIs) are commonly studied using satellite-derived land surface temperature (LST), but many analyses rely on static summaries or pointwise urban-rural…
Bayesian Species Distribution Models using Hierarchical Decomposition Priors
Luisa Ferrari, Massimo Ventrucci, Alex Laini
Understanding the relative contributions of environmental, spatial, and temporal processes in shaping species distribution is a central objective in ecology. Bayesian species distr…
A Standardization Procedure to Incorporate Variance Partitioning Based Priors in Latent Gaussian Models
Luisa Ferrari, Massimo Ventrucci
Latent Gaussian Models (LGMs) are a subset of Bayesian Hierarchical models where Gaussian priors, conditional on variance parameters, are assigned to all effects in the model. LGMs…
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…
A comparison of priors for variance parameters in Bayesian basket trials
Massimo Ventrucci, Alessandro Vagheggini
Phase II basket trials are popular tools to evaluate efficacy of a new treatment targeting genetic alteration common to a set of different cancer histologies. Efficient designs are…
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…