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Handbook of Mixed Membership Models and Their Applications
Langbeschreibung
Incorporating more than 20 years of the editors' and contributors' statistical work in mixed membership modeling, this handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology. Through examples using real data sets, readers will discover how to characterize complex multivariate data in a range of areas.
Inhaltsverzeichnis
Mixed Membership: Setting the Stage. The Grade of Membership Model and Its Extensions. Topic Models: Mixed Membership Models for Text. Semi-Supervised Mixed Membership Models. Special Methodology for Sequence and Rank Data. Mixed Membership Models for Networks. Index.
Edoardo M. Airoldi is an associate professor of statistics at Harvard University. Dr. Airoldi's current research focuses on statistical theory and methods for designing and analyzing experiments in the presence of network interference as well as on modeling and inferential issues when dealing with network data.
ISBN-13:
9781040058633
Veröffentl:
2014
Autor:
Edoardo M. Airoldi
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
92,99 €*
Lieferzeit: Sofort lieferbar
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