10 citations · 16 across the 8 of their papers we have counts for
3 papers · 1 filter
Pathway-based Bayesian factor models for 'omics data
Lorenzo Mauri, Federica Stolf, Amy H. Herring +2
Interpreting RNA-sequencing data requires identifying coordinated gene expression patterns that correspond to biological pathways. Standard factor models provide useful dimension r…
Identifiable and interpretable nonparametric factor analysis
Maoran Xu, Steven Winter, Amy H. Herring +1
Factor models are widely used to reduce dimensionality in modeling high-dimensional data. However, there remains a need for models that can be reliably fit in modest sample sizes a…
Nonparametric Bayes modeling with sample survey weights
T. Kunihama, A. H. Herring, C. T. Halpern +1
In population studies, it is standard to sample data via designs in which the population is divided into strata, with the different strata assigned different probabilities of inclu…