131 citations · 423 across the 20 of their papers we have counts for
20 papers
Bayesian Sparse Vector Autoregressive Switching Models with Application to Human Gesture Phase Segmentation
Beniamino Hadj-Amar, Jack Jewson, Marina Vannucci
We propose a sparse vector autoregressive (VAR) hidden semi-Markov model (HSMM) for modeling temporal and contemporaneous (e.g. spatial) dependencies in multivariate nonstationary…
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…
A Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data
Jingyan Fu, Matthew D. Koslovsky, Andreas M. Neophytou +1
Analyzing multivariate count data generated by high-throughput sequencing technology in microbiome research studies is challenging due to the high-dimensional and compositional str…
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…
Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling
Emily T. Wang, Sharon Chiang, Zulfi Haneef +3
A major issue in the clinical management of epilepsy is the unpredictability of seizures. Yet, traditional approaches to seizure forecasting and risk assessment in epilepsy rely he…
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…