56 citations · 125 across the 10 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
math.PR2020★ 8 cited
Multi-Scale Merge-Split Markov Chain Monte Carlo for Redistricting
Eric A. Autry, Daniel Carter, Gregory Herschlag +2
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. Samplin…
stat.CO2020★ 5 cited
Non-reversible Markov chain Monte Carlo for sampling of districting maps
Gregory Herschlag, Jonathan C. Mattingly, Matthias Sachs +1
Evaluating the degree of partisan districting (Gerrymandering) in a statistical framework typically requires an ensemble of districting plans which are drawn from a prescribed prob…