Modeling Local BES Indicators by Copula-Based Bayesian Networks

摘要: In Italy, the measure of Equitable and Sustainable Well-being is provided by Italian Institute Statistics means a dashboard basic composite indicators. To investigate dependence structure between different domains well-being, we propose use Non-Parametric Bayesian Networks based on normal copula distribution, that allow to explore conditional independence relationships The main advantage non-parametric models that, as opposed parametric approach, they do not require any assumption marginal distributions variables. proposed model applied indicators measured at provincial level enriches analysis well-being inspecting similarities differences urban areas territories.