Inferring the underlying multivariate structure from bivariate networks with highly correlated nodes
Complex systems are often described mathematically as networks. Inferring the actual interactions from observed dynamics of the nodes of the networks is a challenging inverse task. It is crucial to ...
A reliable inference of networks from observations of the nodes’ dynamics is a major challenge in physics. Interdependence measures such as a the correlation coefficient or more advanced methods based ...
In this lecture, the univariate twin model is extended to the bivariate twin model. It is explained how the variance in two traits is decomposed into additive genetic, non-additive genetic, and ...
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