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arXiv · 2403.10302

Probabilistic Models of Profiles for Voting by Evaluation

Antoine Rolland·Jean-Baptiste Aubin·Irène Gannaz·Samuela Leoni
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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.

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Antoine Rolland, Jean-Baptiste Aubin, Irène Gannaz, Samuela Leoni. 2024-03-15. Probabilistic Models of Profiles for Voting by Evaluation. https://arxiv.org/abs/2403.10302

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