9 citations · 16 across the 7 of their papers we have counts for
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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…
stat.CO2020★ 1 cited
Posterior computation with the Gibbs zig-zag sampler
Matthias Sachs, Deborshee Sen, Jianfeng Lu +1
An intriguing new class of piecewise deterministic Markov processes (PDMPs) has recently been proposed as an alternative to Markov chain Monte Carlo (MCMC). In order to facilitate…