Understanding Significance Tests From a Non-Mixing Markov Chain for Partisan Gerrymandering Claims

Recently, Chikina, Frieze, and Pegden proposed a way to assess significance in a Markov chain without requiring that Markov chain to mix. They presented their theorem as a rigorous test for partisan gerrymandering. We clarify that their ε-outlier test is distinct from a traditional global outlier te...

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Bibliographic Details
Main Authors: Wendy K. Tam Cho, Simon Rubinstein-Salzedo
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Statistics and Public Policy
Subjects:
Online Access:http://dx.doi.org/10.1080/2330443X.2019.1574687