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Marina Vannucci

Affiliations: 
Texas A & M University, College Station, TX, United States 
Area:
Statistics
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"Marina Vannucci"
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Chun G. Park grad student 2003 Texas A & M
Kyungduk Ko grad student 2004 Texas A & M
Deukwoo Kwon grad student 2005 Texas A & M
Sinae Kim grad student 2006 Texas A & M

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Publications

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Koslovsky MD, Vannucci M. (2020) MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package. Bmc Bioinformatics. 21: 301
Denti F, Guindani M, Leisen F, et al. (2020) Two-group Poisson-Dirichlet mixtures for multiple testing. Biometrics
Kook JH, Vaughn KA, DeMaster DM, et al. (2020) BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. Neuroinformatics
Peterson CB, Osborne N, Stingo FC, et al. (2020) Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease. Biometrics
Miao Y, Kowal DR, Panchal N, et al. (2020) Nonlinear state-space modeling approaches to real-time autonomous geosteering Journal of Petroleum Science and Engineering. 189: 107025
Cremaschi A, Argiento R, Shoemaker K, et al. (2019) Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling. Bayesian Analysis. 14: 1271-1301
Cassese A, Zhu W, Guindani M, et al. (2019) A Bayesian Nonparametric Spiked Process Prior for Dynamic Model Selection Bayesian Analysis. 14: 553-572
Wu M, Miao Y, Panchal N, et al. (2019) Stochastic clustering and pattern matching for real-time geosteering Geophysics. 84: ID13-ID24
Argiento R, Cremaschi A, Vannucci M. (2019) Hierarchical Normalized Completely Random Measures to Cluster Grouped Data Journal of the American Statistical Association. 115: 318-333
Warnick R, Guindani M, Erhardt E, et al. (2018) A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data. Journal of the American Statistical Association. 113: 134-151
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