Data Simulations for Voting by Evaluation

Antoine Rolland (1) , Jean-Baptiste Aubin (2, 3) , Irène Gannaz (4, 5) , Samuela Leoni (2, 3)

1 ERIC - Entrepôts, Représentation et Ingénierie des Connaissances
2 PSPM - Probabilités, statistique, physique mathématique
3 ICJ - Institut Camille Jordan
4 G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production
5 G-SCOP_GROG - Groupe Recherche Opérationnelle de Grenoble

Considering voting rules based on evaluation inputs rather than preference rankings modifies the paradigm of probabilistic studies of voting procedures. We propose in this paper several simulation models for generating evaluation-based voting inputs. These models can cope with dependent and non identical marginal distributions of the evaluations received by the candidates. A last part is devoted to fitting these models to real data sets.

Keywords: voting rules; Evaluation based voting rules; Simulation; IC model

Domains: Statistics [math.ST]

Antoine Rolland, Jean-Baptiste Aubin, Irène Gannaz, Samuela Leoni. Data Simulations for Voting by Evaluation. 2023. ⟨hal-03194218v3⟩