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Properties of redistricting Markov chains (Sarah Cannon, CMC)
Properties of redistricting Markov chains (Sarah Cannon, CMC)
Markov chains have become widely-used to generate random political districting plans. These random districting plans can be used to form a baseline for comparison, and any proposed districting plans that differ significantly from this baseline can be flagged as potentially gerrymandered. However, very little is rigorously known about these Markov chains - Are they irreducible? […]