Modeling and Inverse Problems in the Presence of Uncertainty collects recent research—
including the authors' own substantial projects—on uncertainty propagation and …

Dans le cadre de la discrétion acoustique des navires militaires, cette thèse contribue à la
modélisation de structures amorties par des matériaux viscoélastiques, sous forme de …

A current thrust in medical research is the development of a non-invasive method for
detection, localization, and characterization of an arterial stenosis (a blockage or partial …

As a first step towards an acoustic localisation device for coronary stenosis to provide a non-
invasive means of diagnosing arterial disease, measurements are reported for an agar …

We compare the performance of three methods for quantifying uncertainty in model
parameters: asymptotic theory, bootstrapping, and Bayesian estimation. We study these …

In this effort we explain fundamental formulations for aggregate data inverse problems
requiring estimation of probability distribution parameters. We use as a motivating example …

An Extension of RSS-based Model Comparison Tests for Weighted Least Squares Page 1 An
Extension of RSS-based Model Comparison Tests for Weighted Least Squares HT Banks …

We revisit a method originally introduced by Werder et al.(in Comput. Methods Appl. Mech.
Engrg., 190: 6685–6708, 2001) for temporally discontinuous Galerkin FEMs applied to a …

Glioblastoma multiforme (GBM) is a malignant brain cancer with a tendency to both migrate
and proliferate. We propose modeling GBM with heterogeneity in cell phenotypes using a …

In this review we discuss methodology to ascertain the amount of information in given data
sets with respect to determination of model parameters with desired levels of uncertainty. We …