Carlos Llosa-Vite, who authored the paper "Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance," has been selected as the first place winner for the 2022 JSM Section on Imaging Statistics Student Paper Competition. The first place selection won Carlos $1000.
The paper, a version of which is available here, provides linear regression and analysis of variance procedures for massively-sized responses and covariates that are in the form of arrays (tensors) and does so in a computationally practical framework.
Ranjan Mitra, Professor and Associate Chair for Research in the Department said, "The work, as conceived and developed by Carlos, is challenging, exhilarating, with wide-ranging and important applications, and I am really glad to note that the judges also concurred."
Congratulations, Carlos!
