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 ...
In this lecture, the bivariate twin model is extended to the multivariate twin model. It is explained how the variance in four traits is decomposed into additive genetic, non-additive genetic, and ...
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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