131 citations · 423 across the 20 of their papers we have counts for
4 papers · 2 filters
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM
Nathan Osborne, Christine B. Peterson, Marina Vannucci
Network estimation and variable selection have been extensively studied in the statistical literature, but only recently have those two challenges been addressed simultaneously. In…
A Bayesian Time-Varying Effect Model for Behavioral mHealth Data
Matthew D. Koslovsky, Emily T. Hebert, Michael S. Businelle +1
The integration of mobile health (mHealth) devices into behavioral health research has fundamentally changed the way researchers and interventionalists are able to collect data as…
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
Cheng-Han Yu, Meng Li, Colin Noe +2
Stationary points embedded in the derivatives are often critical for a model to be interpretable and may be considered as key features of interest in many applications. We propose…
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes
Matthew D. Koslovsky, Kristi L. Hoffman, Carrie R. Daniel +1
One of the major research questions regarding human microbiome studies is the feasibility of designing interventions that modulate the composition of the microbiome to promote heal…