Probabilistic models of profiles for voting by evaluation

Antoine Rolland (), Jean-Baptiste Aubin (), Irène Gannaz () and Samuela Leoni ()
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Antoine Rolland: ERIC EA 3083, Université de Lyon, Université Lumière Lyon 2
Jean-Baptiste Aubin: Univ Lyon, INSA Lyon, UJM, UCBL, ECL, ICJ, UMR5208
Irène Gannaz: Grenoble INP, G-SCOP, Univ. Grenoble Alpes, CNRS
Samuela Leoni: Univ Lyon, INSA Lyon, UJM, UCBL, ECL, ICJ, UMR5208

Social Choice and Welfare, 2024, vol. 63, issue 2, No 6, 377-400

Abstract: 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.

Date: 2024
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DOI: 10.1007/s00355-024-01535-0

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