Block-Separable Copula Generated Random Graphs for Directed Networks

Abstract excerpt

<title>Abstract</title> <p> We propose a model for directed, real-valued networks in which the dependence between the two directed edges within each dyad is captured by a one-parameter Frank copula selected on the basis of empirical dependence structure and predictive likelihood, while the marginal mean of each edge is decomposed into additive sender and receiver effects. The model is closed-form, tractable unde...

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• Bayes Theorem
• Brain
• Connectome
• Genetic Association Studies
• Markov Chains
• Models, Statistical
• Phenotype

Identifiers and source

Literature Corpus work

47a23310-7f93-5465-bb81-799b98b950d6

DOI

10.21203/rs.3.rs-9202945/v1