3 papers
stat.ME2026
Tree-Based Predictive Models for Noisy Input Data
Kevin McCoy, Zachary Wooten, Christine B. Peterson
Measurement error is prevalent across all domains of scientific research where only imprecise observations, rather than the true underlying values, can be obtained. For example, es…
stat.ME2024
Bayesian network-guided sparse regression with flexible varying effects
Yangfan Ren, Christine B. Peterson, Marina Vannucci
In this paper, we propose Varying Effects Regression with Graph Estimation (VERGE), a novel Bayesian method for feature selection in regression. Our model has key aspects that allo…
stat.ME2024
Bayesian Varying-Effects Vector Autoregressive Models for Inference of Brain Connectivity Networks and Covariate Effects in Pediatric Traumatic Brain Injury
Yangfan Ren, Nathan Osborne, Christine B. Peterson +3
In this paper, we develop an analytical approach for estimating brain connectivity networks that accounts for subject heterogeneity. More specifically, we consider a novel extensio…