11 citations · 20 across the 8 of their papers we have counts for
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stat.ME2026
Spatially orthogonal factor models for spatial transcriptomics and remote sensing data
Dan Cunha, Lukas M. Weber, Mark A. Friedl +1
Principal component analyses are often applied to spatial data towards inference on latent modes of spatial variation. These analyses are widespread across domains including spatia…
stat.ME2013★ 9 cited
Bayesian Degree-Corrected Stochastic Blockmodels for Community Detection
Lijun Peng, Luis Carvalho
Community detection in networks has drawn much attention in diverse fields, especially social sciences. Given its significance, there has been a large body of literature with appro…