Marina Vannucci

Q: What Schools Are Affiliated With Marina Vannucci

Marina Vannucci is affiliated with the following schools: Rice University, University of California, Berkeley, University of Pavia, Texas A&M University, University of Florence

Marina Vannucci's AcademicInfluence.com Rankings

Marina Vannucci

Mathematics

#7228

World Rank

#9863

Historical Rank

Statistics

#925

World Rank

#1019

Historical Rank

mathematics Degrees

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Mathematics

Marina Vannucci's Degrees

PhD Statistics University of Florence

Why Is Marina Vannucci Influential?

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According to Wikipedia, Marina Vannucci is an Italian statistician, the Noah Harding Professor and Chair of Statistics at Rice University, the past president of the International Society for Bayesian Analysis, and the former editor-in-chief of Bayesian Analysis. Topics in her research include wavelets, feature selection, and cluster analysis in Bayesian statistics.

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Marina Vannucci's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Gene selection: a Bayesian variable selection approach (2003) (387)
Multivariate Bayesian variable selection and prediction (1998) (379)
Bayesian statistics and modelling (2021) (248)
Bayesian Variable Selection in Clustering High-Dimensional Data (2005) (244)
Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model (2006) (218)
Variable selection in clustering via Dirichlet process mixture models (2006) (182)
Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem (2001) (179)
Bayes model averaging with selection of regressors (2002) (173)
Bayesian Inference of Multiple Gaussian Graphical Models (2015) (168)
Bayesian inference for gene expression and proteomics (2006) (160)
INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES. (2011) (151)
Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage (2004) (149)
Decomposing Intra-Subject Variability in Children with Attention-Deficit/Hyperactivity Disorder (2008) (141)
Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis (2003) (119)
A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data. (2018) (118)
Covariance structure of wavelet coefficients: theory and models in a Bayesian perspective (1999) (100)
A microarray analysis of sex- and gonad-biased gene expression in the zebrafish: Evidence for masculinization of the transcriptome (2009) (97)
Bayesian variable selection for the analysis of microarray data with censored outcomes (2006) (93)
Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies. (2011) (90)
Wavelet change-point prediction of transmembrane proteins (2000) (88)
Finding pathogenicity islands and gene transfer events in genome data (2000) (81)
A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE. (2011) (80)
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data (2004) (76)
The choice of variables in multivariate regression: a non-conjugate Bayesian decision theory approach (1999) (71)
Fertility drugs and the risk of breast cancer: a meta-analysis and review (2010) (63)
NIR and mass spectra classification: Bayesian methods for wavelet-based feature selection (2005) (62)
Bayesian wavelength selection in multicomponent analysis (1998) (62)
Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data (2011) (62)
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data (2017) (59)
Bayesian models for functional magnetic resonance imaging data analysis (2014) (56)
A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses (2014) (55)
Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data (2008) (55)
A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data (2018) (50)
A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data (2016) (48)
A novel wavelet‐based thresholding method for the pre‐processing of mass spectrometry data that accounts for heterogeneous noise (2008) (47)
A systems biology approach reveals common metastatic pathways in osteosarcoma (2012) (47)
Time-dependence of graph theory metrics in functional connectivity analysis (2016) (47)
Spiked Dirichlet Process Prior for Bayesian Multiple Hypothesis Testing in Random Effects Models. (2009) (45)
Regularized partial least squares with an application to NMR spectroscopy (2012) (44)
A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors (2010) (42)
Wavelet Packet Methods for the Analysis of Variance of Time Series With Application to Crack Widths on the Brunelleschi Dome (2004) (40)
Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics (2009) (39)
An Integrative Bayesian Modeling Approach to Imaging Genetics (2013) (39)
Wavelet Methods for the Detection of Anomalies and their Application to Network Traffic Analysis (2006) (36)
Bayesian vector autoregressive model for multi‐subject effective connectivity inference using multi‐modal neuroimaging data (2017) (35)
Assessing side-chain perturbations of the protein backbone: a knowledge-based classification of residue Ramachandran space. (2008) (34)
Joint Bayesian variable and graph selection for regression models with network‐structured predictors (2016) (34)
Identification of DNA regulatory motifs using Bayesian variable selection (2004) (33)
Bayesian wavelet analysis of autoregressive fractionally integrated moving-average processes (2006) (32)
Bayesian statistics and modelling (2021) (32)
A chemoprotective fish oil- and pectin-containing diet temporally alters gene expression profiles in exfoliated rat colonocytes throughout oncogenesis. (2011) (32)
Investigating Multiple Candidate Genes and Nutrients in the Folate Metabolism Pathway to Detect Genetic and Nutritional Risk Factors for Lung Cancer (2013) (31)
Biophysical modelling and NDVI time series to project near‐term forage supply: spectral analysis aided by wavelet denoising and ARIMA modelling (2007) (28)
Detecting Traffic Anomalies Using Discrete Wavelet Transform (2004) (28)
Nonparametric Density Estimation using Wavelets (1995) (28)
A decision theoretical approach to wavelet regression on curves with a high number of regressors (2003) (27)
Gene Selection in Arthritis Classification With Large-Scale Microarray Expression Profiles (2003) (27)
Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors. (2013) (27)
Biosensor Approach to Psychopathology Classification (2010) (27)
A DIRICHLET PROCESS MIXTURE OF HIDDEN MARKOV MODELS FOR PROTEIN STRUCTURE PREDICTION. (2010) (26)
Analysis of Normal-Tumour Tissue Interaction in Tumours: Prediction of Prostate Cancer Features from the Molecular Profile of Adjacent Normal Cells (2011) (23)
Bayesian Models for Variable Selection that Incorporate Biological Information (2012) (23)
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors (2011) (22)
Detecting Traffic Anomalies at the Source through aggregate analysis of packet header data (2003) (22)
Probabilistic Models for Modulus of Elasticity of Self-Consolidated Concrete: Bayesian Approach (2009) (22)
Discussion on the meeting on ‘Statistical modelling and analysis of genetic data’ (2002) (21)
Wavelet Thresholding with Bayesian False Discovery Rate Control (2005) (21)
Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity (2018) (21)
Preventing the Dirac disaster: Wavelet based density estimation (1997) (21)
Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability (2018) (20)
Characterization of biological pathways associated with a 1.37 Mbp genomic region protective of hypertension in Dahl S rats. (2014) (20)
Hierarchical Normalized Completely Random Measures to Cluster Grouped Data (2020) (19)
Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome (2007) (19)
Transforming growth factor-beta signaling in hypertensive remodeling of porcine aorta. (2009) (19)
Salient body image concerns of patients with cancer undergoing head and neck reconstruction (2016) (18)
Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter (2006) (18)
Increased Proliferative Cells in the Medullary Thick Ascending Limb of the Loop of Henle in the Dahl Salt-Sensitive Rat (2013) (18)
Bayesian Methods for Wavelet Series in Single-Index Models (2005) (17)
Bayesian graphical models for modern biological applications (2021) (17)
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints (2017) (17)
Models and computational strategies linking physiological response to molecular networks from large-scale data (2008) (17)
Bayesian Models for fMRI Data Analysis. (2015) (17)
Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction (2014) (16)
Investigating the evolution and structure of chemokine receptors. (2003) (16)
Prospective validation study of an epilepsy seizure risk system for outpatient evaluation (2019) (16)
BAYESIAN WAVELET-BASED CURVE CLASSIFICATION VIA DISCRIMINANT ANALYSIS WITH MARKOV RANDOM TREE PRIORS. (2012) (16)
A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD (2018) (14)
Modeling Dependence in the Wavelet Domain (1999) (14)
Handbook of Bayesian Variable Selection (2021) (14)
Evidence of state-dependence in the effectiveness of responsive neurostimulation for seizure modulation (2020) (13)
A Wavelet‐Based Bayesian Approach to Regression Models with Long Memory Errors and Its Application to fMRI Data (2013) (13)
A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR ASSOCIATION TO GENE EXPRESSION. (2014) (13)
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes (2020) (12)
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks (2020) (12)
Bayesian graphical network analyses reveal complex biological interactions specific to Alzheimer's disease. (2015) (12)
Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure (2010) (12)
NPBayes-fMRI: Non-parametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data (2019) (12)
Simultaneous inference for multiple testing and clustering via a Dirichlet process mixture model (2008) (11)
A Bayesian Nonparametric Spiked Process Prior for Dynamic Model Selection (2019) (11)
A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection (2017) (10)
Bayesian variable selection in clustering high-dimensional data with substructure (2008) (10)
Bayesian inference of networks across multiple sample groups and data types. (2018) (10)
Gene expression profiling of long-term changes in rat liver following burn injury. (2009) (10)
Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM (2020) (10)
WAVELET-BASED BAYESIAN ESTIMATION OF PARTIALLY LINEAR REGRESSION MODELSWITH LONG MEMORY ERRORS. (2009) (10)
Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling. (2019) (9)
A Bayesian approach for capturing daily heterogeneity in intra-daily durations time series (2012) (9)
Spiked Dirichlet Process Priors for Gaussian Process Models. (2010) (9)
Individual Differences in the Neural and Cognitive Mechanisms of Single Word Reading (2018) (9)
Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease (2019) (8)
Bayesian variable selection for a semi-competing risks model with three hazard functions (2017) (8)
Advances in statistical bioinformatics : models and integrative inference for high-throughput data (2013) (8)
MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package (2020) (8)
Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity (2011) (8)
Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data (2018) (7)
NON-DECIMATED WAVELET ANALYSIS OF BIOLOGICAL SEQUENCES: APPLICATIONS TO PROTEIN STRUCTURE AND GENOMICS (2016) (7)
Information theory provides a comprehensive framework for the evaluation of protein structure predictions (2009) (7)
Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014 (2016) (6)
Non-parametric Sampling Approximation via Voronoi Tessellations (2016) (6)
Scalable Bayesian variable selection regression models for count data (2019) (6)
Transcriptomic analysis reveals inflammatory and metabolic pathways that are regulated by renal perfusion pressure in the outer medulla of Dahl-S rats. (2018) (6)
Modeling Dependence in the (1999) (5)
Making sense of molecular signatures in the immune system. (2004) (5)
KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure (2016) (4)
A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants (2015) (4)
Order test for high-dimensional two-sample means (2012) (4)
Functional Data Classification in Cervical Pre-cancer Diagnosis — A Bayesian Variable Selection Model (2007) (4)
A BAYESIAN TIME-VARYING EFFECT MODEL FOR BEHAVIORAL MHEALTH DATA. (2020) (4)
A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells (2016) (4)
A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection (2014) (4)
Two‐group Poisson‐Dirichlet mixtures for multiple testing (2020) (4)
Bayesian inference for stationary points in gaussian process regression models for event-related potentials analysis. (2020) (4)
Order‐Preserving Dimension Reduction Procedure for the Dominance of Two Mean Curves with Application to Tidal Volume Curves (2008) (4)
Wavelet tests for the detection of transients in the VIRGO interferometric gravitational wave detector (2005) (3)
Predictor Selection for Model Averaging (2001) (3)
Effective connectivity in the default mode network after paediatric traumatic brain injury (2021) (3)
Erratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data (2017) (3)
A Bayesian Nonparametric Approach for the Analysis of Multiple Categorical Item Responses. (2015) (3)
Nonlinear state-space modeling approaches to real-time autonomous geosteering (2020) (3)
Publisher Correction: Bayesian statistics and modelling (2021) (3)
iBATCGH : Integrative Bayesian Analysis of Transcriptomic and CGH data (2016) (3)
Identification of Biomarkers in Classification and Clustering of High-Throughput Data (2006) (3)
Advances in Statistical Bioinformatics: Index (2013) (2)
Model shrinking of wavelet coefficients and applications (1996) (2)
Models for Probability of Under- and Overexpression: The POE Scale (2006) (2)
A Bayesian switching linear dynamical system for estimating seizure chronotypes. (2022) (2)
Detecting protein dissimilarities in multiple alignments using Bayesian variable selection (2007) (2)
Conservation of unfavorable sequence motifs that contribute to the chemokine quaternary state. (2008) (2)
Matlab Code for Bayesian Variable Selection (2000) (2)
Spatial Mapping of Translational Diffusion Coefficients Using Diffusion Tensor Imaging: A Mathematical Description. (2014) (2)
A Bayesian approach to identify genes and gene-level SNP aggregates in a genetic analysis of cancer data. (2015) (2)
Advances in Statistical Bioinformatics: Bayesian Model Averaging for Genetic Association Studies (2013) (1)
Understanding the general packing rearrangements required for successful template based modeling of protein structure from a CASP experiment (2013) (1)
Advances in Statistical Bioinformatics: Bayesian Models for Integrative Genomics (2013) (1)
A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles (2014) (1)
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling (2022) (1)
Fish oil and pectin may suppress colon carcinogenesis via inhibition of the MAPK and TGFβpathways (2008) (1)
Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise (2021) (1)
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data (2017) (1)
Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error. (2021) (1)
Challenges in the Analysis of Neuroscience Data (2017) (1)
Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior (2022) (1)
Effective connectivity between resting-state networks in depression. (2022) (1)
A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization (2015) (1)
Correction to: A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes (2022) (1)
Some Themes in High-Dimensional Statistics (2016) (1)
Bayesian feature selection for radiomics using reliability metrics (2023) (0)
Dirichlet-Multinomial Regression Models with Bayesian Variable Selection for Microbiome Data (2021) (0)
A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles (2013) (0)
A fish oil/pectin diet suppresses radiation‐enhanced colon carcinogenesis via down‐regulation of the β‐catenin signaling pathway (2009) (0)
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package (2020) (0)
Seizure count forecasting to aid diagnostic testing in epilepsy (2022) (0)
Simulation Studies Informed by RNA‐seq Data Suggest the Utility of a Multi‐network Bayesian Graphical Model Algorithm for the Study of Hypertension in the Dahl S Rat (2015) (0)
Dynamic and robust Bayesian graphical models (2022) (0)
MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package (2020) (0)
CICLO XXVIII NONPARAMETRIC MODELS FOR DEPENDENT FUNCTIONAL DATA (2016) (0)
Bayesian Sparse Vector Autoregressive Switching Models with Application to Human Gesture Phase Segmentation (2023) (0)
Detecting protein dissimilarities in multiple alignments using (2007) (0)
Advances in Statistical Bioinformatics: Plate section (2013) (0)
Correction (2009) (0)
Abstract 3828: Identification of prognostic markers in osteosarcoma using a systems biology approach. (2013) (0)
Correction (2009) (0)
Pre-Surgical PET Mapping Predicts Surgical Outcome after Anterior Temporal Lobectomy (P4.184) (2016) (0)
expressionpatterns of renal medullary gene Insights into Dahl salt-sensitive hypertension revealed (2015) (0)
Dataset for: A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates under Mean Constraints (2017) (0)
Chemoprotective fish oil/pectin diets temporally alter gene expression profiles in exfoliated colonocytes (2009) (0)
Erratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data (2017) (0)
Dynamic Bayesian Graphical Modeling to Predict Regulatory Networks in Hypertensive Rats (2017) (0)
NPBayes-fMRI: Non-parametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data (2017) (0)
hypertension in Dahl S rats with a 1.37 Mbp genomic region protective of Characterization of biological pathways associated (2014) (0)
Title An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data Permalink (2017) (0)
Advances in Statistical Bioinformatics: Preface (2013) (0)
Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, (2021) (0)
Wavelet-based Estimation of Linear Regression Models with an Application to fMRI Image Data (0)
Wavelets in Random Processes Representation (1996) (0)
Gene Selection for the Identiﬁcation of Biomarkers in High- Throughput Data (2010) (0)
Abstract 498: Increased Proliferative Cells in the Medullary Thick Ascending Limb of the Loop of Henle in the Dahl Salt-Sensitive Rat (2012) (0)
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package (2020) (0)
RNA‐seq analysis of paired servo‐controlled kidneys suggests molecular pathways affected by pressure (2016) (0)
A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD (2016) (0)
A Predictor-Informed Multi-Subject Bayesian Approach for Dynamic Functional Connectivity (2022) (0)
chromosomal substitution and cDNA microarray study Renal medullary genes in salt-sensitive hypertension: a (2015) (0)
A fish oil/pectin diet beneficially altered gene profiles during radiation‐enhanced colon carcinogenesis (2008) (0)
Genes revealed by Bayesian graphical model analysis in pathways mediating hypertension are differentially expressed in the renal medulla of Dahl salt‐sensitive rats (912.6) (2014) (0)
A Spike and Slab centering Distribution in Dirichlet Process Mixture Models for Gene expression (2008) (0)
Bayesian estimation of genomic copy number with single nucleotide polymorphism genotyping arrays (2010) (0)
Rejoinder to the discussion of “Bayesian graphical models for modern biological applications” (2022) (0)
Wavelet-based Variable Selection for Discriminant Analysis with Markov Random Tree Priors (2010) (0)
interval-specific oligonucleotide array Transcriptional profiling with a blood pressure QTL (2015) (0)
A Bayesian Model for Protein Secondary Structure Prediction (2013) (0)
A Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data (2022) (0)
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks (2020) (0)
Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction Priors (2023) (0)
Abstract 478: Biological Pathways Mediating the Effect of a 1.37 Mbp Genomic Region on Salt-Induced Hypertension in the SS Rat (2013) (0)
Identifying biomarkers from SELDI-TOF MS data of ovarian cancer (2007) (0)
Rejoinder to the discussion of “Bayesian graphical models for modern biological applications” (2022) (0)
Stochastic clustering and pattern matching for real-time geosteering (2019) (0)

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Other Resources About Marina Vannucci

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What Schools Are Affiliated With Marina Vannucci?

Marina Vannucci is affiliated with the following schools:

Marina Vannucci's Academic­Influence.com Rankings