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02/10/2023
Bayesian Sparse Vector Autoregressive Switching Models with Application to Human Gesture Phase Segmentation
We propose a sparse vector autoregressive (VAR) hidden semi-Markov model...
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10/04/2022
A Predictor-Informed Multi-Subject Bayesian Approach for Dynamic Functional Connectivity
Time Varying Functional Connectivity (TVFC) investigates how the interac...
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09/22/2022
A Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data
Analyzing multivariate count data generated by high-throughput sequencin...
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09/17/2022
Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior
In this article, we propose a novel spatial global-local spike-and-slab ...
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04/01/2022
Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling
A major issue in the clinical management of epilepsy is the unpredictabi...
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03/19/2021
Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
There is a wide range of applications where the local extrema of a funct...
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10/25/2020
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM
Network estimation and variable selection have been extensively studied ...
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09/18/2020
A Bayesian Time-Varying Effect Model for Behavioral mHealth Data
The integration of mobile health (mHealth) devices into behavioral healt...
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09/16/2020
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
Stationary points embedded in the derivatives are often critical for a m...
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06/08/2020
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks
In this paper we propose BVAR-connect, a variational inference approach ...
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04/30/2020
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes
One of the major research questions regarding human microbiome studies i...
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09/04/2019
Bayesian Inference of Networks Across Multiple Sample Groups and Data Types
In this paper, we develop a graphical modeling framework for the inferen...
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08/28/2019
Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer's Disease
Alzheimer's disease is the most common neurodegenerative disease. The ai...
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04/17/2012