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Morpho-Statistical Description of Networks Through Graph Modelling and Bayesian Inference.
Quentin Laporte-Chabasse
Radu S. Stoica
Marianne Clausel
François Charoy
Gérald Oster
Published in:
IEEE Trans. Netw. Sci. Eng. (2022)
Keyphrases
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bayesian inference
statistical inference
probabilistic model
prior information
hyperparameters
bayesian model
variational bayes
small world
social networks
gibbs sampler
hierarchical bayesian
variational inference
edge weights
particle filter
statistical models
bayesian models
probabilistic modeling
machine learning
hidden variables
expectation propagation
prior distribution
prior knowledge
bayesian networks
closed form
model selection
weighted graph
network structure