3 citations · 3 across the 3 of their papers we have counts for
4 papers
Cluster-Robust Prediction-Powered Inference
David Broska, Michael Howes
Data collection is often costly or logistically demanding, limiting both the questions researchers can pursue and how precisely they can answer them. Prediction-powered inference (…
Limit profiles and cutoff for the Burnside process on Sylow double cosets
Michael Howes
This article gives sharp estimates for the mixing time of the Burnside process for Sylow -double cosets in the symmetric group . This process is a Markov chain on whi…
Random sampling of contingency tables and partitions: Two practical examples of the Burnside process
Persi Diaconis, Michael Howes
This paper gives new, efficient algorithms for approximate uniform sampling of contingency tables and integer partitions. The algorithms use the Burnside process, a general algorit…
Markov Chain Monte Carlo Significance Tests
Michael Howes
Monte Carlo significance tests are a general tool that produce p-values by generating samples from the null distribution. However, Monte Carlo tests are limited to null hypothesis…