1.6k citations · 2.9k across the 36 of their papers we have counts for
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stat.AP2020★ 36 cited
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans
Cory McCartan, Kosuke Imai
Random sampling of graph partitions under constraints has become a popular tool for evaluating legislative redistricting plans. Analysts detect partisan gerrymandering by comparing…
stat.AP2020
The Essential Role of Empirical Validation in Legislative Redistricting Simulation
Benjamin Fifield, Kosuke Imai, Jun Kawahara +1
As granular data about elections and voters become available, redistricting simulation methods are playing an increasingly important role when legislatures adopt redistricting plan…