@article{pritchard2023multi,
  title={Multi-district preference modelling},
  author={Pritchard, Geoffrey and Wilson, Mark C},
  journal={Quality \& Quantity},
  volume={57},
  keywords={electoral systems},
  number={1},
  pages={587--613},
  year={2023},
  url_Paper={},
  abstract   = {Generating realistic artificial preference distributions is an important
part of any simulation analysis of electoral systems. While this has
been discussed in some detail in the context of a single electoral
district, many electoral systems of interest are based on districts.
Neither treating preferences between districts as independent nor
ignoring the district structure yields satisfactory results. We present
a model based on an extension of the classic Eggenberger-P\'{o}lya urn,
in which each district is represented by an urn and there is correlation
between urns. We show in detail that this procedure has a small number
of tunable parameters, is computationally efficient, and produces
{``}realistic-looking{"} distributions. We present applications to
retrospective analysis and forecasting of real elections, and intend to
use the methodology to help set optimal parameters for electoral
systems. (Subsumes SocArXiv paper xpb8w from 2018)}
}

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