Comparison of robustness of statistical procedures for network structure analysis

01/30/2018

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Different network structures are compiared with respect to degree of robustnes of identification statistical procedures. It is shown that threshold (market) graph, cliques and independent sets in the threshold (market) graphs are preferable network structure from this point of view.

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Comparison of robustness of statistical procedures for network structure analysis

Clustering Network Vertices in Sparse Contextual Multilayer Networks

Monitoring the Dynamic Networks of Stock Returns

An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning

Learning Module Networks

Federated Myopic Community Detection with One-shot Communication

A graph-theoretic framework for algorithmic design of experiments

Semi-parametric Network Structure Discovery Models

Comparison of robustness of statistical procedures for network structure analysis

Related Research

Clustering Network Vertices in Sparse Contextual Multilayer Networks

Monitoring the Dynamic Networks of Stock Returns

An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning

Learning Module Networks

Federated Myopic Community Detection with One-shot Communication

A graph-theoretic framework for algorithmic design of experiments

Semi-parametric Network Structure Discovery Models