Network Inference from Grouped Data

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dc.contributor.advisorZhao, Yungpen
dc.contributor.authorWeko, Charles William
dc.creatorWeko, Charles William
dc.date.accessioned2015-07-29T18:42:49Z
dc.date.available2015-07-29T18:42:49Z
dc.date.issued2015
dc.description.abstractIn the past two decades, the interest in network analysis has expanded rapidly. Most network analysis methods start from observed network topology. However, network structure is not directly observed in many fields, especially in social sciences. Thus, a methodology for inferring implicit network structure is required to effectively apply network analysis. One area of research involves the inference of network structure from \textit{grouped data}. Grouped data records the manner in which a population forms subsets or smaller groups.
dc.format.extent106 pages
dc.identifier.urihttps://hdl.handle.net/1920/9696
dc.language.isoen
dc.rightsCopyright 2015 Charles William Weko
dc.subjectStatistics
dc.subjectAffiliation network
dc.subjectDream of the Red Chamber
dc.subjectL1 regularization
dc.titleNetwork Inference from Grouped Data
dc.typeDissertation
thesis.degree.disciplineStatistical Science
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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