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Thanks for the great resources in this repo! I was wondering if it's possible to modify the likelihood functions for your univariate distributions so that parameters are vectors instead of reals, for regression applications. For example, I would like to build on your sgt example to estimate the parameters as linear functions of covariates. Thanks for any thoughts or tips.
The text was updated successfully, but these errors were encountered:
Thanks for the great resources in this repo! I was wondering if it's possible to modify the likelihood functions for your univariate distributions so that parameters are vectors instead of reals, for regression applications. For example, I would like to build on your sgt example to estimate the parameters as linear functions of covariates. Thanks for any thoughts or tips.
The text was updated successfully, but these errors were encountered: