A Class of Random Matrices

被引：0
|
作者：
Kyrychenko, O. L. [1 ]
机构：
[1] Yuriy Fedkovych Chernivtsi Natl Univ, Chernovtsy, Ukraine
来源：
CYBERNETICS AND SYSTEMS ANALYSIS | 2024年 / 60卷 / 01期
关键词：
random matrix; artificial intelligence; discrete Markov chain; bootstrap method; Fisher information;
D O I：
10.1007/s10559-024-00644-z
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper examines methods for assessing the distribution of elements in a stochastic matrix assuming the exponential distribution of elements in the corresponding adjacency matrix of a graph. Two cases are considered: the first assumes the homogeneity of all the graph vertices, while the second assumes the heterogeneity in the distribution of vertices with the corresponding density calculations. Hypothesis tests are formulated for the respective distributions to determine the membership of two graph vertices in the same cluster.
引用
收藏
页码：39 / 44
页数：6
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