4 citations · 7 across the 11 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2024★ 1 cited
An Instrumental Variables Framework to Unite Spatial Confounding Methods
Sophie M. Woodward, Mauricio Tec, Francesca Dominici
Studies investigating the causal effects of spatially varying exposures on outcomes often rely on observational and spatially indexed data. A prevalent challenge is unmeasured spat…
stat.ME2018★ 4 cited
Random clique covers for graphs with local density and global sparsity
Sinead A. Williamson, Mauricio Tec
Large real-world graphs tend to be sparse, but they often contain many densely connected subgraphs and exhibit high clustering coefficients. While recent random graph models can ca…