| Bayesian models for functional magnetic resonance imaging data analysis L Zhang, M Guindani, M Vannucci Wiley Interdisciplinary Reviews: Computational Statistics 7 (1), 21-41, 2015 | 91 | 2015 |
| A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses L Zhang, M Guindani, F Versace, M Vannucci NeuroImage 95, 162-175, 2014 | 73 | 2014 |
| A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data L Zhang, M Guindani, F Versace, JM Engelmann, M Vannucci The Annals of Applied Statistics 10 (2), 638-666, 2016 | 66 | 2016 |
| Empirical assessment of spatial prediction methods for location cost-adjustment factors GC Migliaccio, M Guindani, M D’Incognito, L Zhang Journal of construction engineering and management 139 (7), 858-869, 2012 | 27 | 2012 |
| NPBayes-fMRI: Non-parametric Bayesian General Linear Models for Single-and Multi-Subject fMRI Data JH Kook, M Guindani, L Zhang, M Vannucci Statistics in Biosciences, 1-19, 2017 | 13 | 2017 |
| Bone marrow changes related to disuse L Nardo, DN Sandman, W Virayavanich, L Zhang, RB Souza, L Steinbach, ... European radiology 23 (12), 3422-3431, 2013 | 12 | 2013 |
| Bayesian nonparametric models for functional magnetic resonance imaging (fMRI) data L Zhang Rice University, 2015 | 2 | 2015 |
| A Bayesian Variable Selection Model for the Clustering of Time Courses in FMRI data M Guindani, L Zhang, F Versace, M Vannucci | | |
