Author

M. Fuentes

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Preprint Aug 2026

Covariance Kernels on Unordered Pair Spaces: Theory and Applications to Network-Valued Data

Many scientific problems are relational: the quantity of interest is a connection between two objects, while information about similarity is available for the objects themselves. We develop a covariance framework for unordered relationships that transfers object-level geometry to the relations they form while preservin...

M. Fuentes · 0 citations

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