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Statistical Methods in Graphs: Parameter Estimation, Model Selection, and Hypothesis Test by Dehmer, Matthias; Emmert-Streib, Frank; Chen, Zengqiang; Li, Xueliang; Shi, Yongtang is a scholarly article available to read on EtoBox.

What is Statistical Methods in Graphs: Parameter Estimation, Model Selection, and Hypothesis Test about?

This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory. An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range from analyzing mathematical properties of methods right up to applying them in real-life areas. Filling a gap in the contemporary literature this is an invaluable reference for a number of disciplines, including mathematicians, computer scientists, computational biologists, and structural chemists

Author

Dehmer, Matthias; Emmert-Streib, Frank; Chen, Zengqiang; Li, Xueliang; Shi, Yongtang

Publisher

Wiley-VCH Verlag GmbH & Co. KGaA

Published

2016

Language

EN

ISBN

9783527339099