Marina Vannucci

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Venues

Rice University

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Rice University Jul 01 2007

United States

Professor and Chair :: Statistics

Publications

Jaylen Lee, Sana Hussain, Ryan Warnick, Marina Vannucci, Isaac Menchaca, Aaron R Seitz, Xiaoping P Hu, Megan A K Peters, Michele Guindani
A predictor-informed multi-subject bayesian approach for dynamic functional connectivity. PloS one 19 (5) (2024)
Yangfan Ren, Nathan Osborne, Christine B Peterson, Dana M DeMaster, Linda Ewing-Cobbs, Marina Vannucci
Bayesian varying-effects vector autoregressive models for inference of brain connectivity networks and covariate effects in pediatric traumatic brain injury. Human brain mapping 45 (10) (2024)
Jaylen Lee, Sana Hussain, Ryan Warnick, Marina Vannucci, Isaac Menchaca, Aaron R Seitz, Xiaoping P Hu, Megan A K Peters, Michele Guindani
A predictor-informed multi-subject bayesian approach for dynamic functional connectivity. PloS one 19 (5) (2024)
Yangfan Ren, Nathan Osborne, Christine B Peterson, Dana M DeMaster, Linda Ewing-Cobbs, Marina Vannucci
Bayesian varying-effects vector autoregressive models for inference of brain connectivity networks and covariate effects in pediatric traumatic brain injury. Human brain mapping 45 (10) (2024)
Emily T Wang, Marina Vannucci, Zulfi Haneef, Robert Moss, Vikram R Rao, Sharon Chiang
A Bayesian switching linear dynamical system for estimating seizure chronotypes. Proceedings of the National Academy of Sciences of the United States of America 119 (46) (2022)
Cheng-Han Yu, Meng Li, Colin Noe, Simon Fischer-Baum, Marina Vannucci
Bayesian inference for stationary points in Gaussian process regression models for event-related potentials analysis. Biometrics (2022)
Mingrui Liang, Matthew D Koslovsky, Emily T Hebért Arsers, Darla E Kendzor, Michael S Businelle, Marina Vannucci
Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error. Psychological methods (2021)
Jeong Hwan Kook, Kelly A Vaughn, Dana M DeMaster, Linda Ewing-Cobbs, Marina Vannucci
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. Neuroinformatics 19 (1) (2021)
Francesco Denti, Michele Guindani, Fabrizio Leisen, Antonio Lijoi, William Duncan Wadsworth, Marina Vannucci
Two-group Poisson-Dirichlet mixtures for multiple testing. Biometrics 77 (2) (2020)
Christine B Peterson, Nathan Osborne, Francesco C Stingo, Pierrick Bourgeat, James D Doecke, Marina Vannucci
Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease. Biometrics 76 (4) (2020)
Sharon Chiang, Daniel M Goldenholz, Robert Moss, Vikram R Rao, Zulfi Haneef, William H Theodore, Jonathan K Kleen, Jay Raman Gavvala, Marina Vannucci, John M Stern
Prospective validation study of an epilepsy seizure risk system for outpatient evaluation. Epilepsia 61 (1) (2019)
Qiwei Li, Alberto Cassese, Michele Guindani, Marina Vannucci
Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data. Biometrics 75 (1) (2018)
W Duncan Wadsworth, Raffaele Argiento, Michele Guindani, Jessica Galloway-Pena, Samuel A Shelburne, Marina Vannucci
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. BMC bioinformatics 18 (1) (2017)
Christine B Peterson, Francesco C Stingo, Marina Vannucci
Joint Bayesian variable and graph selection for regression models with network-structured predictors. Statistics in medicine 35 (7) (2015)

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Publication Activity (10 Years)

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Marina Vannucci