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It may be simpler from some people use a harnessing the Pert distribution to describe the shape of their priors. It would also provide a cleaner solution in the generation of the Beta parameters since there is an analytical conversion between Pert and Beta. This could also help when the optimization algorithm of get_beta_params() fails to converge.
It may be wise then to create a new function based on the Pert.
The text was updated successfully, but these errors were encountered:
It may be simpler from some people use a harnessing the Pert distribution to describe the shape of their priors. It would also provide a cleaner solution in the generation of the Beta parameters since there is an analytical conversion between Pert and Beta. This could also help when the optimization algorithm of
get_beta_params()
fails to converge.It may be wise then to create a new function based on the Pert.
The text was updated successfully, but these errors were encountered: