Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5471537 | Applied Mathematics Letters | 2017 | 13 Pages |
Abstract
In this note we explain the use of the Akiake Information Criterion and its related model comparison indices (usually derived for maximum likelihood estimator inverse problem formulations) in the context of least squares (ordinary, weighted, iterative weighted or “generalized”, etc.) based inverse problem formulations. The ideas are illustrated with several examples of interest in biology.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
H.T. Banks, Michele L. Joyner,