Ryan Warnick
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Decision Theory For Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR Open
Aleatoric and Epistemic uncertainty have achieved recent attention in the literature as different sources from which uncertainty can emerge in stochastic modeling. Epistemic being intrinsic or model based notions of uncertainty, and aleato…
View article: A predictor-informed multi-subject bayesian approach for dynamic functional connectivity
A predictor-informed multi-subject bayesian approach for dynamic functional connectivity Open
Dynamic functional connectivity investigates how the interactions among brain regions vary over the course of an fMRI experiment. Such transitions between different individual connectivity states can be modulated by changes in underlying p…
A Predictor-Informed Multi-Subject Bayesian Approach for Dynamic Functional Connectivity Open
Time Varying Functional Connectivity (TVFC) investigates how the interactions among brain regions vary over the course of an fMRI experiment. The transitions between different individual connectivity states can be modulated by changes in u…
A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data Open
Dynamic functional connectivity, i.e., the study of how interactions among brain regions change dynamically over the course of an fMRI experiment, has recently received wide interest in the neuroimaging literature. Current approaches for s…