Article history: Received 2 August 2013 Received in revised form 6 November 2013 Accepted 2 December 2013 Available online 1 January 2014

Uncertainty Quantification with Experimental Data and Complex System Models

In this paper we prove that there exists a constant C such that, if S,Σ are subsets of R d of finite measure, then for every function f ∈ L2(Rd),

Abstract. In this paper we propose a malaria within-host model with k classes of age for the parasitized red blood cells and n strains for the parasite. We provide a global analysis for this model. A competitive exclusion principle holds. If R0, the basic reproduction number, satisfies R0 ≤ 1, then the disease-free equilibrium is globally asymptotically stable. On the contrary if R0 > 1, then g...

Article history: Received 10 December 2012 Accepted 8 May 2013 Available online 31 May 2013

Many of the problems we work with at Los Alamos National Laboratory are similar to the thermal problem described in the tasking document. In this paper we describe the tools and methods we have developed that utilize experimental data and detailed physics simulations for uncertainty quantification, and apply them to the thermal challenge problem. We then go on to address the regulatory question...

Generalized likelihood uncertainty estimation (GLUE) is one of the widely-used methods for quantifying uncertainty in flood inundation mapping. However, the subjective nature of its application involving the definition of the likelihood measure and the criteria for defining acceptable versus unacceptable models can lead to different results in quantifying uncertainty bounds. The objective of th...