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Probabilistic Foundations of Statistical Network Analysis /

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"Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dyna...

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Bibliographic Details
Main Author: Crane, Harry (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2018.
Edition:First edition.
Series:Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Subjects:
Computational linguistics > Network analysis.
Machine learning.
Operations research.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • chapter 1 Orientation / Harry Crane
  • chapter 2 Binary relational data / Harry Crane
  • chapter 3 Network sampling / Harry Crane
  • chapter 4 Generative models / Harry Crane
  • chapter 5 Statistical modeling paradigm / Harry Crane
  • chapter 6 Vertex exchangeable models / Harry Crane
  • chapter 7 Getting beyond graphons / Harry Crane
  • chapter 8 Relatively exchangeable models / Harry Crane
  • chapter 9 Edge exchangeable models / Harry Crane
  • chapter 10 Relationally exchangeable models / Harry Crane
  • chapter 11 Dynamic network models / Harry Crane.