Separating Effect From Significance in Markov Chain Tests
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 desired significance level that a given Markov chain …