The SUMO toolbox  2018a
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Functions
getAICInfo.m File Reference

Functions

function getAICInfo (var models)
 Return metrics related to Akaike's Information Criteria. More...
 

Detailed Description

Authors
SUMO Lab Team
Version
2018a
Date
Copyright 2006-2018

This file is part of the Surrogate Modeling Toolbox ("SUMO Toolbox") and you can redistribute it and/or modify it under the terms of the GNU Affero General Public License version 3 as published by the Free Software Foundation. With the additional provision that a commercial license must be purchased if the SUMO Toolbox is used, modified, or extended in a commercial setting. For details see the included LICENSE.txt file. When referring to the SUMO Toolbox please make reference to the corresponding publication:

Contact : sumo@.nosp@m.sumo.nosp@m..inte.nosp@m.c.ug.nosp@m.ent.b.nosp@m.e - http://sumo.intec.ugent.be Signature [deltai wi likelihood evidenceRatios] = getAICInfo(models)

Function Documentation

function getAICInfo ( var  models)

Return metrics related to Akaike's Information Criteria.

Namely, The Akaike weights wi, the relative differences between the AIC scores, the likelihood of each model and its evidence ratio. Theory comes from the book: Model Selection and Multimodal Inference by Kenneth P Burnham and David R Anderson