Now showing items 1-3 of 3

    • A Merge-Split Proposal for Reversible Monte Carlo Markov Chain Sampling of Redistricting Plans 

      Mattingly, Jonathan; Carter, Daniel; Herschlag, Gregory; Hunter, Zach
      We describe a Markov chain on redistricting plans that makes relatively global moves. The chain is designed to be usable as the proposal in a Markov Chain Monte Carlo (MCMC) algorithm. Sampling the space of plans amounts ...
    • Multi-Scale Merge-Split Markov Chain Monte Carlo for Redistricting 

      Autry, Eric A; Carter, Daniel; Herschlag, Gregory; Hunter, Zach; Mattingly, Jonathan C
      We develop a Multi-Scale Merge-Split Markov chain on redistricting plans. The chain is designed to be usable as the proposal in a Markov Chain Monte Carlo (MCMC) algorithm. Sampling the space of plans amounts to dividing ...
    • Optimal Legislative County Clustering in North Carolina 

      Mattingly, Jonathan; Carter, Daniel; Hunter, Zach; Teague, Dan; Herschlag, Gregory
      North Carolina's constitution requires that state legislative districts should not split counties. However, counties must be split to comply with the "one person, one vote" mandate of the U.S. Supreme Court. Given ...