40 citations · 41 across the 2 of their papers we have counts for
2 papers
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…
stat.AP2017★ 1 cited
The Bayesian Sorting Hat: A Decision-Theoretic Approach to Size-Constrained Clustering
Justin D. Silverman, Rachel K. Silverman
Size-constrained clustering (SCC) refers to the dual problem of using observations to determine latent cluster structure while at the same time assigning observations to the unknow…