Math @ Duke
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Publications [#352640] of Jonathan C. Mattingly
search arxiv.org.Papers Published
- Chikina, M; Frieze, A; Mattingly, JC; Pegden, W, Separating Effect From Significance in Markov Chain Tests,
Statistics and Public Policy, vol. 7 no. 1
(January, 2020),
pp. 101-114 [doi]
(last updated on 2025/01/30)
Abstract: 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 desired significance level that a given Markov chain state (e.g., a districting) is extremely unusual (rather than just atypical) with respect to the fragility of its characteristics in the chain. We also provide theorems specialized to leverage quantitative improvements when there is a product structure in the underlying probability space, as can occur due to geographical constraints on districtings.
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