Michele Guindani

发表

Time-dependence of graph theory metrics in functional connectivity analysis

Marina Vannucci, Sharon Chiang, Alberto Cassese, 2016, NeuroImage.

Special Issue on Biostatistics

Yi Li, Ming-Yen Cheng, Michele Guindani, 2019, Comput. Stat. Data Anal..

An Integrative Bayesian Modeling Approach to Imaging Genetics

Francesco C Stingo, Marina Vannucci, Michele Guindani, 2013, Journal of the American Statistical Association.

Dataset for: A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates under Mean Constraints

Marina Vannucci, Wiley Admin, Howard D. Bondell, 2017 .

A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR ASSOCIATION TO GENE EXPRESSION.

Marina Vannucci, Francesco Falciani, Alberto Cassese, 2014, The annals of applied statistics.

A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells

Marina Vannucci, Xiaodong Zhuang, Francesco Falciani, 2016, PLoS Comput. Biol..

A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data

Marina Vannucci, Francesco Versace, Michele Guindani, 2016 .

Bayesian vector autoregressive model for multi‐subject effective connectivity inference using multi‐modal neuroimaging data

Marina Vannucci, Sharon Chiang, John M Stern, 2016, Human brain mapping.

Two‐group Poisson‐Dirichlet mixtures for multiple testing

Marina Vannucci, Fabrizio Leisen, Michele Guindani, 2020, Biometrics.

Classification of adrenal lesions through spatial Bayesian modeling of GLCM

X. Li, Michele Guindani, C. S. Ng, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Challenges in the Analysis of Neuroscience Data

Marina Vannucci, Michele Guindani, M. Vannucci, 2017 .

Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity

Marina Vannucci, Sharon Chiang, John M Stern, 2018, PloS one.

A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data

Marina Vannucci, Erik B. Erhardt, Michele Guindani, 2018, Journal of the American Statistical Association.

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data

Marina Vannucci, Alberto Cassese, Michele Guindani, 2018, Biometrics.

Bayesian models for functional magnetic resonance imaging data analysis

Marina Vannucci, Linlin Zhang, Michele Guindani, 2014 .

Bayesian nonparametric statistics: A new toolkit for discovery in cancer research

Peter F Thall, Michele Guindani, Peter Mueller, 2017, Pharmaceutical statistics.

Generalized Species Sampling Priors With Latent Beta Reinforcements

Edoardo M. Airoldi, Fabrizio Leisen, Federico Bassetti, 2010, Journal of the American Statistical Association.

More nonparametric Bayesian inference in applications

Michele Guindani, Wesley O. Johnson, W. Johnson, 2018, Stat. Methods Appl..

A Bayesian approach to evaluation of soil biogeochemical models

Michele Guindani, Steven D. Allison, Hua W. Xie, 2020 .

Empirical Assessment of Spatial Prediction Methods for Location Cost Adjustment Factors.

Linlin Zhang, Michele Guindani, Giovanni C Migliaccio, 2013, Journal of construction engineering and management.

Editorial: Novel Approaches in Microbiome Analyses and Data Visualization

Michele Guindani, Jessica Galloway-Peña, 2018, Front. Microbiol..

iBATCGH : Integrative Bayesian Analysis of Transcriptomic and CGH data

Marina Vannucci, Alberto Cassese, Michele Guindani, 2016 .

Tree-ring based climate reconstruction using a hierarchical Bayesian model

Michele Guindani, Stefano Cabras, 2016 .

A Bayesian predictive model for imaging genetics with application to schizophrenia

Kim-Anh Do, Michele Guindani, Thierry Chekouo, 2016 .

Causes of fatal accidents for instrument-certified and non-certified private pilots.

Douglas D Boyd, Michele Guindani, Bob Siyuan Shao, 2014, Accident; analysis and prevention.

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints

Marina Vannucci, Howard D. Bondell, Brian J. Reich, 2017, Stat. Anal. Data Min..

A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization

Marina Vannucci, Michele Guindani, Chaan S. Ng, 2015, Cancer informatics.

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data

Marina Vannucci, Raffaele Argiento, Michele Guindani, 2017, BMC Bioinformatics.

A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses

Marina Vannucci, Francesco Versace, Linlin Zhang, 2014, NeuroImage.

A Non-parametric bayesian model for estimating spectral densities of resting-state EEG twin data.

Michele Guindani, Mark Fiecas, Brian Hart, 2020, Biometrics.

Spatial Bayesian modeling of GLCM with application to malignant lesion characterization

Xiao Li, Michele Guindani, Chaan S Ng, 2019, Journal of applied statistics.

Reduction of incorrect record accessing and charting patient electronic medical records in the perioperative environment

Michele Guindani, Spencer Kee, Elizabeth Rebello, 2016, Health Informatics J..

NPBayes-fMRI: Non-parametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data

Marina Vannucci, Jeong Hwan Kook, Linlin Zhang, 2019 .

Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity

Michele Guindani, Ivor Cribben, Wei Zhang, 2021, 2106.14083.

A Horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging

Babak Shahbaba, Michele Guindani, Francesco Denti, 2021 .

Bayesian Models for fMRI Data Analysis.

Marina Vannucci, Michele Guindani, M. Vannucci, 2015, Wiley interdisciplinary reviews. Computational statistics.

Role of Increased n-acetylaspartate Levels in Cancer.

Michele Guindani, Wei Hu, Niki M Zacharias, 2016, Journal of the National Cancer Institute.

Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome

Peter F Thall, Michele Guindani, Rebecca Graziani, 2015, Biometrics.

A Bayesian Nonparametric Approach for the Analysis of Multiple Categorical Item Responses.

Marina Vannucci, Richard G Baraniuk, Michele Guindani, 2015, Journal of statistical planning and inference.

A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection

Marina Vannucci, Sharon Chiang, Michele Guindani, 2017, Front. Neurosci..

Impedance-Based Monitoring of Mesenchymal Stromal Cell Three-Dimensional Proliferation Using Aerosol Jet Printed Sensors: A Tissue Engineering Application

Mauro Serpelloni, Emilio Sardini, Edoardo Cantù, 2020, Materials.

A class of covariate-dependent spatiotemporal covariance functions.

Jo Eidsvik, Michele Guindani, Brian J Reich, 2011, The annals of applied statistics.