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Learning Bayesian Hierarchical Modeling from 8 Schools
A walkthrough of a classical Bayesian problem.
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Understanding Copulas
In statistics, copulas are functions that allow us to define a multivariate distribution by specifying their univariate marginals and interdependencies separately. In modelling returns of assets, for example, this enables greater flexibility and ability to model joint behaviour in extreme events.
