131 citations · 423 across the 20 of their papers we have counts for
10 papers · 1 filter
A Predictor-Informed Multi-Subject Bayesian Approach for Dynamic Functional Connectivity
Jaylen Lee, Sana Hussain, Ryan Warnick +6
Time Varying Functional Connectivity (TVFC) investigates how the interactions among brain regions vary over the course of an fMRI experiment. The transitions between different indi…
Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior
Zijian Zeng, Meng Li, Marina Vannucci
In this article, we propose a novel spatial global-local spike-and-slab selection prior for image-on-scalar regression. We consider a Bayesian hierarchical Gaussian process model f…
Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
Meng Li, Zejian Liu, Cheng-Han Yu +1
There is a wide range of applications where the local extrema of a function are the key quantity of interest. However, there is surprisingly little work on methods to infer local e…
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…