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序约束下单向分类方差分析模型的Bayes变量选择
引用本文:史海芳,李聪,姬永刚.序约束下单向分类方差分析模型的Bayes变量选择[J].吉林大学学报(理学版),2021,58(5):1093-1100.
作者姓名:史海芳  李聪  姬永刚
作者单位:1. 中国民航大学 理学院, 天津 300300; 2. 吉林大学 数学学院, 长春 130012
摘    要:考虑序约束下单向分类方差分析模型的变量选择问题, 提出两种基于SSVS的Bayes变量选择方法, 并设计一种简单且易操作的Gibbs抽样算法进行后验抽样. 数值模拟和应用实例结果表明, 该方法效果较好.

关 键 词:Bayes变量选择    序约束    随机搜索变量选择  
收稿时间:2020-03-27

Weight of Light Chords 4-Cycles in IC-Planar Graphs with Degree Restrictions
SHI Haifang,LI Cong,JI Yonggang.Weight of Light Chords 4-Cycles in IC-Planar Graphs with Degree Restrictions[J].Journal of Jilin University: Sci Ed,2021,58(5):1093-1100.
Authors:SHI Haifang  LI Cong  JI Yonggang
Institution:1. School of Science, Civil Aviation University of China, Tianjin 300300, China;
2. College of Mathematics, Jilin University, Changchun 130012, China
Abstract:The graph formed by removing an edge from a complete graph k4 was called chordal 4-cycle. By discharging method, the author discussed the weight of 4-cycle with chords in IC-planar graphs with degree restrictions. The author proved that each IC-planar graph with minimum vertex degree at least 5 and minimum edge degree at least 11 contained a light chordal 4-cycle v1v2v3v4v1, and proved that the upper bounds of weight of this kind of light chordal 4-cycle was at most 37.
Keywords:IC-planar graph  discharging method  weight  chordal 4-cycle  
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