Posts tagged hierarchical

A Primer on Bayesian Methods for Multilevel Modeling

Hierarchical or multilevel modeling is a generalization of regression modeling. Multilevel models are regression models in which the constituent model parameters are given probability models. This implies that model parameters are allowed to vary by group. Observational units are often naturally clustered. Clustering induces dependence between observations, despite random sampling of clusters and random sampling within clusters.

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A Hierarchical model for Rugby prediction

Based on the following blog post: Daniel Weitzenfeld’s, which based on the work of Baio and Blangiardo.

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