10 citations · 25 across the 36 of their papers we have counts for
9 papers · 1 filter
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…
bnRep: A repository of Bayesian networks from the academic literature
Manuele Leonelli
Bayesian networks (BNs) are widely used for modeling complex systems with uncertainty, yet repositories of pre-built BNs remain limited. This paper introduces bnRep, an open-source…
The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks
Manuele Leonelli, Jim Q. Smith, Sophia K. Wright
Bayesian networks are one of the most widely used classes of probabilistic models for risk management and decision support because of their interpretability and flexibility in incl…
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks
Rafael Ballester-Ripoll, Manuele Leonelli
Traditionally, the sensitivity analysis of a Bayesian network studies the impact of individually modifying the entries of its conditional probability tables in a one-at-a-time (OAT…
Learning Staged Trees from Incomplete Data
Jack Storror Carter, Manuele Leonelli, Eva Riccomagno +1
Staged trees are probabilistic graphical models capable of representing any class of non-symmetric independence via a coloring of its vertices. Several structural learning routines…
Context-Specific Refinements of Bayesian Network Classifiers
Manuele Leonelli, Gherardo Varando
Supervised classification is one of the most ubiquitous tasks in machine learning. Generative classifiers based on Bayesian networks are often used because of their interpretabilit…