8 citations · 8 across the 10 of their papers we have counts for
5 papers · 1 filter
Disentangling Spatial and Structural Drivers of Housing Prices through Bayesian Networks: A Case Study of Madrid, Barcelona, and Valencia
Alvaro Garcia Murga, Manuele Leonelli
Understanding how housing prices respond to spatial accessibility, structural attributes, and typological distinctions is central to contemporary urban research and policy. In citi…
Uncovering Drivers of EU Carbon Futures with Bayesian Networks
Jan Maciejowski, Manuele Leonelli
The European Union Emissions Trading System (EU ETS) is a key policy tool for reducing greenhouse gas emissions and advancing toward a net-zero economy. Under this scheme, tradeabl…
Predicting and understanding shooting performance in professional biathlon: A Bayesian approach
Manuele Leonelli
Biathlon is a unique winter sport that combines precision rifle marksmanship with the endurance demands of cross-country skiing. We develop a Bayesian hierarchical model to predict…
Robust learning of staged tree models: A case study in evaluating transport services
Manuele Leonelli, Gherardo Varando
Staged trees are a relatively recent class of probabilistic graphical models that extend Bayesian networks to formally and graphically account for non-symmetric patterns of depende…
Using Staged Tree Models for Health Data: Investigating Invasive Fungal Infections by Aspergillus and Other Filamentous Fungi
Maria Teresa Filigheddu, Manuele Leonelli, Gherardo Varando +4
Machine learning models are increasingly used in the medical domain to study the association between risk factors and diseases to support practitioners in predicting health outcome…