Hi, I am trying to build a simple linear model and need to make an inference based on the fitted parameters. First off, my y data is very right-skewed, so I need to transform y. So, I am trying to use the boxcox transformation inside a pre-defined function such as: def fn(a,b,c,x, lam): …

This should be fine, all basic python math operations work on random variables without problems. Box-cox transformations are a common way to “normalize” right-skewed data, yes. Another way would be to explicitly model the skew, with something like a SkewNormal distribution If you have negati…

Paramter interpretation with scaled data

Questions v5

Hyung June 28, 2022, 5:09pm 5

Thank you for the clarification!

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Paramter interpretation with scaled data

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