Danielle Robbins

Works (1)

Updated: July 5th, 2023 15:48

2010 journal article

Standard error computations for uncertainty quantification in inverse problems: Asymptotic theory vs. bootstrapping

MATHEMATICAL AND COMPUTER MODELLING, 52(9-10), 1610–1625.

By: H. Banks n, K. Holm n & D. Robbins n

author keywords: Parameter estimation; Bootstrapping; Asymptotic standard errors
TL;DR: This work computationally investigates two approaches for uncertainty quantification in inverse problems for nonlinear parameter dependent dynamical systems and considers both constant variance absolute error data and relative error which produces non-constant variance data in parameter estimation formulations. (via Semantic Scholar)
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