Incorporating Parameter Estimability Into Model Selection

Incorporating Parameter Estimability Into Model Selection

We investigate a class of information criteria based on the informational complexity criterion (ICC), which penalizes model fit based on the degree of dependency among parameters. In addition to existing forms of ICC, we develop a new complexity measure that uses the coefficient of variation matrix,...

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Bibliographic Details
Main Authors: Jake M. Ferguson, Mark L. Taper, Rosana Zenil-Ferguson, Marie Jasieniuk, Bruce D. Maxwell
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Ecology and Evolution
Subjects:
informational complexity
ICOMP
AIC
BIC
variable selection
covariance
Online Access:https://www.frontiersin.org/article/10.3389/fevo.2019.00427/full

Internet

https://www.frontiersin.org/article/10.3389/fevo.2019.00427/full

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