131 citations · 423 across the 20 of their papers we have counts for
8 papers · 1 filter
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 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 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…
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks
Jeong Hwan Kook, Kelly A. Vaughn, Dana M. DeMaster +2
In this paper we propose BVAR-connect, a variational inference approach to a Bayesian multi-subject vector autoregressive (VAR) model for inference on effective brain connectivity…
A hierarchical Bayesian model for inference of copy number variants and their association to gene expression
Alberto Cassese, Michele Guindani, Mahlet G. Tadesse +2
A number of statistical models have been successfully developed for the analysis of high-throughput data from a single source, but few methods are available for integrating data fr…
Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes
Francesco C. Stingo, Yian A. Chen, Mahlet G. Tadesse +1
The vast amount of biological knowledge accumulated over the years has allowed researchers to identify various biochemical interactions and define different families of pathways. T…