Generalized Species Sampling Priors with Latent Beta reinforcements - Edoardo M. Airoldi; Federico Bassetti; Michele Guindani; Fabrizio Leisen (CoRR, 2010)

A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses. - Linlin Zhang; Michele Guindani; Francesco Versace; Marina Vannucci (NeuroImage, 2014)

Reduction of incorrect record accessing and charting patient electronic medical records in the perioperative environment. - Elizabeth Rebello; Spencer Kee; Alicia Kowalski; Nusrat Harun; Michele Guindani; Farzin Goravanchi (Health Informatics J., 2016)

Time-dependence of graph theory metrics in functional connectivity analysis. - Sharon Chiang; Alberto Cassese; Michele Guindani; Marina Vannucci; Hsiang J. Yeh; Zulfi Haneef; John M. Stern (NeuroImage, 2016)

A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells. - Victor Trevino; Alberto Cassese; Zsuzsanna Nagy; Xiaodong Zhuang; John M. Herbert; Philipp Antzack; Kim Clarke; Nicholas Davies; Ayesha Rahman; Moray J. Campbell; Michele Guindani; Roy Bicknell; et al. (PLoS Comput. Biol., 2016)

Classification of adrenal lesions through spatial Bayesian modeling of GLCM. - Xiao Li 031; Michele Guindani; Chaan S. Ng; Brian P. Hobbs (ISBI, 2017)

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. - W. Duncan Wadsworth; Raffaele Argiento; Michele Guindani; Jessica Galloway-Pena; Samuel A. Shelburne; Marina Vannucci (BMC Bioinform., 2017)

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. - Qiwei Li 001; Michele Guindani; Brian J. Reich; Howard D. Bondell; Marina Vannucci (Stat. Anal. Data Min., 2017)

More nonparametric Bayesian inference in applications. - Michele Guindani; Wesley O. Johnson (Stat. Methods Appl., 2018)

Special Issue on Biostatistics. - Ming-Yen Cheng; Michele Guindani; Jae Won Lee; Yi Li; Catherine Chunling Liu (Comput. Stat. Data Anal., 2019)

Thinned random measures for sparse graphs with overlapping communities. - Federica Zoe Ricci; Michele Guindani; Erik B. Sudderth (NeurIPS, 2022)

AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data. - Chih-Chieh Liu; Yasser G. Abdelhafez; S. Paran Yap; Francesco Acquafredda; Silvia Schirò; Andrew L. Wong; Dani Sarohia; Cyrus Bateni; Morgan Angus Darrow; Michele Guindani; Sonia Lee; Michelle Zhang; et al. (J. Digit. Imaging, 2023)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies. - Federica Zoe Ricci; Erik B. Sudderth; Jaylen Lee; Megan A. K. Peters; Marina Vannucci; Michele Guindani (CoRR, 2024)