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Markov Graphs

 

作者: Ove Frank,   David Strauss,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1986）
卷期: Volume 81, issue 395  

页码: 832-842

 

ISSN:0162-1459

 

年代: 1986

 

DOI:10.1080/01621459.1986.10478342

 

出版商: Taylor & Francis Group

 

关键词: Log-linear network model;Markov field;Graph inference

 

数据来源: Taylor

 

摘要:

Log-linear statistical models are used to characterize random graphs with general dependence structure and with Markov dependence. Sufficient statistics for Markov graphs are shown to be given by counts of various triangles and stars. In particular, we show under which assumptions the triad counts are sufficient statistics. We discuss inference methodology for some simple Markov graphs.

 

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