Non-Asymptotic Confidence Regions for Separable Nonlinear Models

Szabolcs Szentpéteri, Péter Kovács, Balázs Csanád Csáji

This paper studies robust uncertainty quantification for separable nonlinear least squares (SNLLS) problems. We propose two identification methods, (i) Residual-Perturbed Gradient…