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stat.ME2026
Bayesian Variable Selection for High-Dimensional Predictors with Missing Psychometric Outcomes
Zongyue Teng, Shujie Ma, Timothy J. Hohman +2
High-dimensional, multimodal predictors and partially observed multivariate outcomes are common in psychometric research. However, existing regularization methods often do not acco…
stat.ME2026
Gaussian Graphical Models for Functional Connectivity Analysis: A Statistical Review with Applications to Alzheimer's Disease
Panpan Zhang, Shiying Xiao, W. Hudson Robb +3
Functional connectivity analysis is an important tool for characterizing interactions among brain regions, particularly in studies of neurodegenerative disorders such as Alzheimer'…