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Special Section on Statistical and Mathematical Methods for Redistricting and Assessment of Gerrymandering

Separating Effect From Significance in Markov Chain Tests

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Pages 101-114 | Received 10 Sep 2019, Accepted 25 Jun 2020, Published online: 05 Oct 2020

References

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  • Carter, D. , Hunter, Z. , Teague, D. , Herschlag, G. , and Mattingly, J. (2020), “Optimal Legislative County Clustering in North Carolina,” Statistics and Public Policy , 7, 19–29. DOI: 10.1080/2330443X.2020.1748552.
  • Chikina, M. , Frieze, A. , and Pegden, W. (2017), “Assessing Significance in a Markov Chain Without Mixing,” Proceedings of the National Academy of Sciences of the United States of America , 114, 2860–2864. DOI: 10.1073/pnas.1617540114.
  • Herschlag, G. , Kang, H. S. , Luo, J. , Graves, C. V. , Bangia, S. , Ravier, R. , and Mattingly, J. C. (2018), “Quantifying Gerrymandering in North Carolina,” arXiv no. 1801.03783.
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