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Dtic Ada488405: Bayesian Mixed Membership Models Of Complex And Evolving Networks by Defense Technical Information Center
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1DTIC ADA488405: Bayesian Mixed-Membership Models Of Complex And Evolving Networks
By Defense Technical Information Center
This thesis provides a methodological framework for the statistical analysis of complex graphs and dynamic networks.1 In it, I develop probabilistic algorithms that generate, evolve and integrate a heterogeneous collection of graphs, I study the statistical models these algorithms implicitly specify, and I develop strategies for estimating the set of quantities on which they depend in the context of applications to social and biological networks.
“DTIC ADA488405: Bayesian Mixed-Membership Models Of Complex And Evolving Networks” Metadata:
- Title: ➤ DTIC ADA488405: Bayesian Mixed-Membership Models Of Complex And Evolving Networks
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA488405: Bayesian Mixed-Membership Models Of Complex And Evolving Networks” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Airoldi, Edoardo M - CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE - *NETWORKS - ALGORITHMS - GRAPHS - STATISTICAL ANALYSIS - LEARNING MACHINES - THESES - MOLECULAR BIOLOGY - MATHEMATICAL MODELS - PROBABILITY
Edition Identifiers:
- Internet Archive ID: DTIC_ADA488405
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 103.57 Mbs, the file-s for this book were downloaded 78 times, the file-s went public at Wed Jun 27 2018.
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