1 citations · 1 across the 4 of their papers we have counts for
4 papers
Multilevel Regression Modeling of Covariance Matrix Outcomes
Michelle Murphy Green, Xi Luo, Brian S. Caffo +1
Covariance matrix outcomes arise naturally in neuroimaging experiments to study brain functional connectivity. It is also of interest to understand how brain network organization v…
Classifier Pooling for Modern Ordinal Classification
Noam H. Rotenberg, Andreia V. Faria, Brian Caffo
Ordinal data is widely prevalent in clinical and other domains, yet there is a lack of both modern, machine-learning based methods and publicly available software to address it. In…
How causal perspectives can inform neuroscience data analysis
Eric W. Bridgeford, Brian S. Caffo, Maya B. Mathur +1
Over the past two decades, considerable strides have been made in advancing neuroscientific techniques, yet challenges remain in attributing causality to observed associations. Thi…
Direct Bayesian Regression for Distribution-valued Covariates
Bohao Tang, Sandipan Pramanik, Yi Zhao +2
In this manuscript, we study the problem of scalar-on-distribution regression; that is, instances where subject-specific distributions or densities, or in practice, repeated measur…