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Found 3 papers, 1 papers with code
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures
We propose a scalable nonparametric Bayesian approach to reconstruct the topology of interdependent infrastructure networks from observations of cascading failures.
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
Hierarchical Bayesian Poisson regression models (HBPRMs) provide a flexible modeling approach of the relationship between predictors and count response variables.
Reconstructing Sparse Multiplex Networks with Application to Covert Networks
For law enforcement agencies, the inferred complete network structure can be used to develop more effective strategies for covert network interdiction.
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