Using random effects models in prediction problems
The Unofficial Google Data Science Blog
MARCH 31, 2016
Finally, through a case study of a real-world prediction problem, we also argue that Random Effect models should be considered alongside penalized GLM's even for pure prediction problems. Random effects models are a useful tool for both exploratory analyses and prediction problems. ICML, (2005). [3]
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