This is a preview. Log in through your library . Abstract The performance of Least Squares (LS) estimators is studied in shape-constrained regression models under Gaussian and sub-Gaussian noise.

In this article, we consider a general multivariate nonlinear regression setting in which the marginal mean and variance-covariance structure share a common set of regression parameters. Estimation is ...