Marina Vannucci

24 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-7360-5321

Department of Statistics, Rice University

Publications

• Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise — Journal of the American Statistical Association 2024
• Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation — The Annals of Applied Statistics 2024
• Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling — The Annals of Applied Statistics 2023
• Correction to: A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes — The Annals of Applied Statistics 2022
• Hierarchical Normalized Completely Random Measures to Cluster Grouped Data — Journal of the American Statistical Association 2020
• A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes — The Annals of Applied Statistics 2020
• A Bayesian time-varying effect model for behavioral mHealth data — The Annals of Applied Statistics 2020
• A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data — Journal of the American Statistical Association 2018
• A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data — The Annals of Applied Statistics 2016
• Bayesian Inference of Multiple Gaussian Graphical Models — Journal of the American Statistical Association 2015
• A hierarchical Bayesian model for inference of copy number variants and their association to gene expression — The Annals of Applied Statistics 2014 (name-matched, not ORCID-linked)
• An Integrative Bayesian Modeling Approach to Imaging Genetics — Journal of the American Statistical Association 2013
• Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes — The Annals of Applied Statistics 2011 (name-matched, not ORCID-linked)
• A Bayesian graphical modeling approach to microRNA regulatory network inference — The Annals of Applied Statistics 2010
• A Dirichlet process mixture of hidden Markov models for protein structure prediction — The Annals of Applied Statistics 2010 (name-matched, not ORCID-linked)
• Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics — Journal of the American Statistical Association 2009
• Variable selection in clustering via Dirichlet process mixture models — Biometrika 2006
• Bayesian Variable Selection in Clustering High-Dimensional Data — Journal of the American Statistical Association 2005
• Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis — Journal of the American Statistical Association 2003
• Rejoinder — Journal of the American Statistical Association 2003
• Bayes model averaging with selection of regressors — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2002
• Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem — Journal of the American Statistical Association 2001
• Covariance structure of wavelet coefficients: theory and models in a Bayesian perspective — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1999
• Multivariate Bayesian variable selection and prediction — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1998