Separating Effect From Significance in Markov Chain Tests
We give qualitative and quantitative improvements to theorems which enable significance testing in Markov chains, with a particular eye toward the goal of enabling strong, interpretable, and statistically rigorous claims of political gerrymandering. Our results can be used to demonstrate at a desire...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
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| Series: | Statistics and Public Policy |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/2330443X.2020.1806763 |