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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
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| Series: | Statistics and Public Policy |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/2330443X.2019.1574687 |