We introduce a new approach aiming at computing approximate optimal designs for multivariate polynomial regressions on compact (semialgebraic) design spaces. We use the moment-sum-of-squares hierarchy ...

Motivated by data from the National Hearth Lung and Blood Institute, this paper proposes a nonparametric modeling approach for analyzing multivariate longitudinal data. Our method is based on ...

Multivariate cryptography relies on the inherent difficulty of solving systems of multivariate polynomial equations over finite fields, and it is regarded as one of the most promising candidates ...