Adaptive importance sampling for network growth models

Network Growth Models such as Preferential Attachment and Duplication/Divergence are popular generative models with which to study complex networks in biology, sociology, and computer science. However, analyzing them within the framework of model selection and statistical inference is often complica...

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Veröffentlicht in:	Annals of operations research 2011-09, Vol.189 (1), p.187-203
Hauptverfasser:	Guetz, Adam N., Holmes, Susan P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Attachment Business and Management Combinatorics Computer science Entropy Estimating Growth models Importance sampling Inference Mathematical models Monte Carlo simulation Networks Operations research Operations Research/Decision Theory Reproduction Sampling Sociology Statistics Studies Theory of Computation
Online-Zugang:	Volltext
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