62 citations · 268 across the 38 of their papers we have counts for
5 papers · 1 filter
Scale Reliant Inference
Michelle Pistner Nixon, Kyle C. McGovern, Jeffrey Letourneau +4
Many scientific fields, including human gut microbiome science, collect multivariate count data where the sum of the counts is unrelated to the scale of the underlying system being…
Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces
Samuel I. Berchuck, Mark Janko, Felipe A. Medeiros +2
We introduce a Bayesian non-parametric spatial factor analysis model with spatial dependency induced through a prior on factor loadings. For each column of the loadings matrix, spa…
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…
Bayesian group latent factor analysis with structured sparsity
Shiwen Zhao, Chuan Gao, Sayan Mukherjee +1
Latent factor models are the canonical statistical tool for exploratory analyses of low-dimensional linear structure for an observation matrix with p features across n samples. We…
Predictor-dependent shrinkage for linear regression via partial factor modeling
P. Richard Hahn, Sayan Mukherjee, Carlos Carvalho
In prediction problems with more predictors than observations, it can sometimes be helpful to use a joint probability model, , rather than a purely conditional model, $π(Y…