"AIC Under the Framework of Least Squares Estimation" by H. T. Banks and Michele L. Joyner
 

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.

Plum Print visual indicator of research metrics
PlumX Metrics
  • Citations
    • Citation Indexes: 96
  • Usage
    • Abstract Views: 4
  • Captures
    • Readers: 69
  • Social Media
    • Shares, Likes & Comments: 1
see details

Share

COinS