mdl(m)

MDL: returns Rissanen's Minimum Description Length.
299 Downloads
Updated 1 Apr 2016

View License

MDL Returns Rissanen's Minimum Description Length.
m=model that has been estimated using System Identification toolbox.
This function requires System Identification toolbox to work. Plug-compatible with built-in functions aic(m) and fpe(m).
MDL can be used like AIC or FPE to compare models of different complexities. Choose model with lowest MDL or AIC or FPE. Pintelon & Schoukens (2001) pp. 329,550 say MDL is better than AIC because AIC tends to select a too-complex model.
Minimum Description Length = V*(1+d*log(N)/N)
where V=loss function, d=number of fitted model parameters, and N=number of data points.

Cite As

William Rose (2024). mdl(m) (https://www.mathworks.com/matlabcentral/fileexchange/56300-mdl-m), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
2.1.0.0

Updated the comments and example. Code is same as before.

2.0.0.0