Model selection via information criteria

被引:0
|
作者
Talata Z. [1 ]
机构
[1] Stochastics Research Group, Hungarian Academy of Sciences, H-1364 Budapest
关键词
Basic neighborhood estimation; Bayesian information criterion; Context tree estimation; Information criterion; Markov random field; Minimum description length; Model selection;
D O I
10.1007/s10998-005-0023-7
中图分类号
学科分类号
摘要
This is a survey of the information criterion approach to model selection problems. New results about context tree estimation and the estimation of the basic neighborhood of Markov random fields are also mentioned. © Akadémiai Kiadó.
引用
收藏
页码:99 / 117
页数:18
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