A Probabilistic Model for Detecting Gerrymandering in Partially-Contested Multiparty Elections
Tytuł rozdziału:
A Probabilistic Model for Detecting Gerrymandering in Partially-Contested Multiparty Elections
Tytuł książki:
Transactions on Computational Collective Intelligence XXXIV
Wydawnictwo:
Springer
Rok:
2019
Opis:
Classic methods for detecting gerrymandering fail in multiparty partially-contested elections, such as the Polish local election of 2014. A new method for detecting electoral bias, based on the assumption that voting is a stochastic process described by Pólya’s urn model, is devised to overcome these difficulties.
Strony:
1-20
Tom (seria wydawnicza):
11890 LNCS
Numer DOI:
https://doi.org/10.1007/978-3-662-60555-4_1
Link:
https://link.springer.com/chapter/10.1007/978-3-662-60555-4_1