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  5. Mixed membership models for rank data: Investigating structure in Irish voting data
 
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Mixed membership models for rank data: Investigating structure in Irish voting data

Author(s)
Gormley, Isobel Claire  
Murphy, Thomas Brendan  
Uri
http://hdl.handle.net/10197/7185
Date Issued
2014-12
Date Available
2016-06-01T01:00:11Z
Abstract
A mixed membership model is an individual level mixture model where individuals have partial membership of the profiles (or groups) that characterize a population. A mixed membership model for rank data is outlined and illustrated through the analysis of voting in the 2002 Irish general election. This particular election uses a voting system called proportional representation using a single transferable vote (PR-STV) where voters rank some or all of the candidates in order of preference. The data set considered consists of all votes in a constituency from the 2002 Irish general election. Interest lies in highlighting distinct voting profiles within the electorate and studying how voters affiliate themselves to these voting profiles. The mixed membership model for rank data is fitted to the voting data and is shown to give a concise and highly interpretable explanation of voting patterns in this election.
Type of Material
Book Chapter
Publisher
CRC Press
Subjects

Proportional represen...

Voting

Ireland

Statistical analysis

Web versions
https://www.crcpress.com/Handbook-of-Mixed-Membership-Models-and-Their-Applications/Airoldi-Blei-Erosheva-Fienberg/9781466504080
Language
English
Status of Item
Peer reviewed
Journal
Airoldi, E.M.,Blei, D.M., Erosheva, E.A. and Fienberg, S.E. (eds.). Handbook of Mixed Membership Models and Their Applications
ISBN
9781466504080
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Gormley_Murphy_submitted.pdf

Size

695.64 KB

Format

Adobe PDF

Checksum (MD5)

c54b5cf969c378c2f28e2ff701c8178f

Owning collection
Mathematics and Statistics Research Collection
Mapped collections
CASL Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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