Information Content in Data Sets for a Nucleated-Polymerization Model
Analysis of PDEs
2015-03-17 v1 Computational Engineering, Finance, and Science
Applications
Abstract
We illustrate the use of tools (asymptotic theories of standard error quantification using appropriate statistical models, bootstrapping, model comparison techniques) in addition to sensitivity that may be employed to determine the information content in data sets. We do this in the context of recent models [23] for nucleated polymerization in proteins, about which very little is known regarding the underlying mechanisms; thus the methodology we develop here may be of great help to experimentalists.
Cite
@article{arxiv.1503.04682,
title = {Information Content in Data Sets for a Nucleated-Polymerization Model},
author = {H. T. Banks and M Doumic and C Kruse and S Prigent and H Rezaei},
journal= {arXiv preprint arXiv:1503.04682},
year = {2015}
}