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What is Automated Redistricting Simulation Using Markov Chain Monte Carlo about?

The article presents a new automated redistricting simulator using Markov Chain Monte Carlo (MCMC) to address the limitations of existing algorithms in legislative redistricting. The proposed method formulates redistricting as a graph-cut problem, allowing for the incorporation of contiguity and equal population constraints, and demonstrates improved accuracy in approximating target distributions compared to standard algorithms. An open-source software package is provided for researchers and practitioners t

Author

Taryane Carvalho Perné

Language

EN