2 papers
stat.ME2026
Bayesian model selection of vine copulas: a loss-based perspective
Rosario Barone, Luciana Dalla Valle, Fabrizio Leisen +1
The growing popularity of vine copulas in multivariate statistical analysis is largely driven by their ability to capture complex dependence structures. However, this flexibility c…
stat.ME2022
Bayesian inference for discretely observed continuous time multi-state models
Rosario Barone, Andrea Tancredi
Multi-state models are frequently applied for representing processes evolving through a discrete set of state. Important classes of multi-state models arise when transitions betwee…