Zobrazeno 1 - 10
of 445
pro vyhledávání: '"Caffo, Brian S."'
Autor:
Moghadas, Babak, Caffo, Brian S.
Massive Open Online Courses (MOOCs) have transformed the educational landscape, offering scalable and flexible learning opportunities, particularly in data-centric fields like data science and artificial intelligence. Incorporating AI and data scienc
Externí odkaz:
http://arxiv.org/abs/2311.06961
In this study, a density-on-density regression model is introduced, where the association between densities is elucidated via a warping function. The proposed model has the advantage of a being straightforward demonstration of how one density transfo
Externí odkaz:
http://arxiv.org/abs/2307.03642
In this study, a longitudinal regression model for covariance matrix outcomes is introduced. The proposal considers a multilevel generalized linear model for regressing covariance matrices on (time-varying) predictors. This model simultaneously ident
Externí odkaz:
http://arxiv.org/abs/2202.04553
Autor:
Wang, Bingkai, Caffo, Brian S., Luo, Xi, Liu, Chin-Fu, Faria, Andreia V., Miller, Michael I., Zhao, Yi
A compositional tree refers to a tree structure on a set of random variables where each random variable is a node and composition occurs at each non-leaf node of the tree. As a generalization of compositional data, compositional trees handle more com
Externí odkaz:
http://arxiv.org/abs/2104.07113
Autor:
Zhao, Yi, Wang, Bingkai, Liu, Chin-Fu, Faria, Andreia V., Miller, Michael I., Caffo, Brian S., Luo, Xi
Brain segmentation at different levels is generally represented as hierarchical trees. Brain regional atrophy at specific levels was found to be marginally associated with Alzheimer's disease outcomes. In this study, we propose an L1-type regularizat
Externí odkaz:
http://arxiv.org/abs/2104.00454
This manuscript presents an approach to perform generalized linear regression with multiple high dimensional covariance matrices as the outcome. Model parameters are proposed to be estimated by maximizing a pseudo-likelihood. When the data are high d
Externí odkaz:
http://arxiv.org/abs/2007.12740
Autor:
Mejia, Amanda F., Bolin, David, Yue, Yu Ryan, Wang, Jiongran, Caffo, Brian S., Nebel, Mary Beth
Independent component analysis is commonly applied to functional magnetic resonance imaging (fMRI) data to extract independent components (ICs) representing functional brain networks. While ICA produces reliable group-level estimates, single-subject
Externí odkaz:
http://arxiv.org/abs/2005.13388
In this study, we propose a two-stage procedure for hypothesis testing, where the first stage is conventional hypothesis testing and the second is an equivalence testing procedure using an introduced Empirical Equivalence Bound. In 2016, the American
Externí odkaz:
http://arxiv.org/abs/1912.13084
Publikováno v:
In Physiology & Behavior 1 November 2023 271
With fast advancements in technologies, the collection of multiple types of measurements on a common set of subjects is becoming routine in science. Some notable examples include multimodal neuroimaging studies for the simultaneous investigation of b
Externí odkaz:
http://arxiv.org/abs/1908.10925