AIC Under the Framework of Least Squares Estimation
Document Type
Article
Publication Date
12-1-2017
Description
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.
Citation Information
Banks, H. T.; and Joyner, Michele L.. 2017. AIC Under the Framework of Least Squares Estimation. Applied Mathematics Letters. Vol.74 33-45. https://doi.org/10.1016/j.aml.2017.05.005 ISSN: 0893-9659