Global population and income trends continue to increase world food demand and an “upscaling” of diets to include more animal proteins. In response, cost and efficiency driven intensification of cropping and livestock operations has created substantive environmental concerns including...

We propose an adaptive nuclear norm penalization approach for low-rank matrix approximation, and use it to develop a new reduced rank estimation method for high-dimensional multivariate regression. The adaptive nuclear norm is defined as the weighted sum of the singular values of the matrix, and...