Probabilistic Models of Profiles for Voting by Evaluation
Applications
2024-03-18 v1
Abstract
Considering voting rules based on evaluation inputs rather than preference rankings modifies the paradigm of probabilistic studies of voting procedures. This article proposes 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
Cite
@article{arxiv.2403.10302,
title = {Probabilistic Models of Profiles for Voting by Evaluation},
author = {Antoine Rolland and Jean-Baptiste Aubin and Irène Gannaz and Samuela Leoni},
journal= {arXiv preprint arXiv:2403.10302},
year = {2024}
}