Author

H. Rekabdarkolaee

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Preprint Aug 2026

Bayesian Tensor Regression for Neuroimaging Data

Multidimensional array data, or tensors, arise naturally in neuroimaging and other high-dimensional applications. We propose a parsimonious Bayesian tensor regression model for studies in which a brain image is the response and predictors are vector-valued covariates. The method extends Bayesian envelope dimension redu...

Z. Naji, M. Fuentes, Liang-Suo Ma et al. · 1 citation