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Network Inference from Grouped Data

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dc.contributor.advisor Zhao, Yungpen
dc.contributor.author Weko, Charles William
dc.creator Weko, Charles William
dc.date.accessioned 2015-07-29T18:42:49Z
dc.date.available 2015-07-29T18:42:49Z
dc.date.issued 2015
dc.identifier.uri https://hdl.handle.net/1920/9696
dc.description.abstract In 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.extent 106 pages
dc.language.iso en
dc.rights Copyright 2015 Charles William Weko
dc.subject Statistics en_US
dc.subject Affiliation Network en_US
dc.subject Dream of the Red Chamber en_US
dc.subject L1 Regularization en_US
dc.title Network Inference from Grouped Data
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Statistical Science en
thesis.degree.grantor George Mason University en


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