most citedBayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes

40 citations · 40 across the 1 of their papers we have counts for

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stat.ME2019★ 40 cited

Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes

Justin D. Silverman, Kimberly Roche, Zachary C. Holmes +2

Bayesian multinomial logistic-normal (MLN) models are popular for the analysis of sequence count data (e.g., microbiome or gene expression data) due to their ability to model multi…