The MCB for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level.
-
Updated
Aug 29, 2020 - R
The MCB for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level.
Add a description, image, and links to the model-confidence-set topic page so that developers can more easily learn about it.
To associate your repository with the model-confidence-set topic, visit your repo's landing page and select "manage topics."