3 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
Bayesian Tensor Regression for Neuroimaging Data
Zahra Naji, Montserrat Fuentes, Liangsuo Ma +1
Multidimensional array data, or tensors, arise naturally in neuroimaging and other high-dimensional applications. We propose a parsimonious Bayesian tensor regression model for stu…
Near-Optimal Nitrogen Recommendations for Precision Agriculture via Sequential Screening and Hierarchical Refinement
Sakshi Arya, Abdul-Nasah Soale, Hossein Moradi Rekabdarkolaee
Nitrogen fertilizer management plays a central role in balancing agricultural productivity and environmental sustainability, yet identifying optimal application strategies remains…
Dimension Reduction for Spatially Correlated Data: Spatial Predictor Envelope
Paul May, Hossein Moradi Rekabdarkolaee
Dimension reduction is an important tool for analyzing high-dimensional data. The predictor envelope is a method of dimension reduction for regression that assumes certain linear c…