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stat.AP2016
A nonparametric HMM for genetic imputation and coalescent inference
Lloyd T. Elliott, Yee Whye Teh
Genetic sequence data are well described by hidden Markov models (HMMs) in which latent states correspond to clusters of similar mutation patterns. Theory from statistical genetics…
stat.AP2016★ 13 cited
Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata
Seth Flaxman, Danica J. Sutherland, Yu-Xiang Wang +1
We combine fine-grained spatially referenced census data with the vote outcomes from the 2016 US presidential election. Using this dataset, we perform ecological inference using di…