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Logistic回归模型选择的渐近概率
引用本文:王清华,吴成庆,赵林城. Logistic回归模型选择的渐近概率[J]. 应用概率统计, 2004, 20(4): 441-445
作者姓名:王清华  吴成庆  赵林城
作者单位:中国科技大学统计与金融系,合肥,230026
基金项目:ResearchpartiallysupportedbytheNationalNaturalScienceFoundationofChina.Ph.D.ProgramFoundationofMinistryofEducationofChinaandSpecialFoundationsoftheChineseAcademyofSciencesandUSTC.
摘    要:
在许多情况下,我们需要对logistic回归模型中的重要变量进行选择,在本文中,我们对从信息论准则AIC选择出的模型给出了渐近分布和渐近概率。

关 键 词:Logistic回归 模型选择 渐近分布

The Asymptotic Probability of Model Selection in the Logistic Regression Model
Abstract. The Asymptotic Probability of Model Selection in the Logistic Regression Model[J]. Chinese Journal of Applied Probability and Statisties, 2004, 20(4): 441-445
Authors:Abstract
Abstract:
In many situations, we are interested in selection of important variables which are adequate for prediction in a logistic regression model. In this paper, the asymptotic distribution and the asymptotic probability of the selected model by using the information criteria AIC are obtained.
Keywords:Logistic regression   model selection   asymptotic distribution.
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