collaborators

14 papers

stat.AP2026

Testing Additivity in Lead and Benzo[a]pyrene-induced Neurodegeneration in Caenorhabditis elegans

Niccolo Anceschi, Javier Huayta, Joel N. Meyer +2

Exposure to environmental contaminants is a recognized cause of neurotoxicity, contributing to the onset of a broad range of neurological conditions. In realistic settings, such ex…

stat.ME2026

Local graph estimation with pathwise false discovery control

Omar Melikechi, David B. Dunson, Noureddine Melikechi +1

Many datasets include a small set of variables, such as biomarkers or clinical outcomes, whose relationships to the broader system are of primary scientific interest. Estimating th…

stat.ME2026

Spectral decomposition-assisted multi-study factor analysis

Lorenzo Mauri, Niccolò Anceschi, David B. Dunson

This article focuses on covariance estimation for multi-study data. Popular approaches employ factor-analytic terms with shared and study-specific loadings that decompose the varia…

stat.AP2025

Leveraging ontologies to predict biological activity of chemicals across genes

Jennifer N. Kampe, David B. Dunson, Celeste K. Carberry +3

High-throughput screening (HTS) is useful for evaluating chemicals for potential human health risks. However, given the extraordinarily large number of genes, assay endpoints, and…

stat.ME2025

Blessing of dimension in Bayesian inference on covariance matrices

Shounak Chattopadhyay, Anru R. Zhang, David B. Dunson

Bayesian factor analysis is routinely used for dimensionality reduction in modeling of high-dimensional covariance matrices. Factor analytic decompositions express the covariance a…

stat.ME2025

Link prediction in ecological networks under extreme taxonomic bias

Jennifer N. Kampe, Camille M. M. DeSisto, David B. Dunson

Ecological networks offer powerful insights into community function, but without first characterizing these networks accurately, our ability to detect and interpret changes under e…