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Generalized Additive Models for Location, Scale and Shape 01. What is GAMLSS GAMLSS are distributional regression models, where all the parameters of the assumed distribution for the response can be modelled as functions of the explanatory variables. The models are appropriate when the focus is not only in the mean (or location) of the distribution but possibly other part of the distribution like
Tyler Vigen's project list Spurious Scholar Published: January 27, 2024 What it is: Thousands of AI-generated academic research articles based on the correlations from the spurious correlations project Spurious Correlations Originally published: May 2014 Update launched: January 27, 2024 What it is: Random correlations dredged up from silly data, turned into linear line charts. Now with AI-generat
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