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In many cases, there are too many parameters in a model to consider the sensitivity of all of them. Instead a global quantity such as in-sample log score for the observations could be used, which would apply to all models.
As the log_lik is already used in priorsense, this should be quite straightforward to implement.
The text was updated successfully, but these errors were encountered:
In many cases, there are too many parameters in a model to consider the sensitivity of all of them. Instead a global quantity such as in-sample log score for the observations could be used, which would apply to all models.
As the
log_lik
is already used in priorsense, this should be quite straightforward to implement.The text was updated successfully, but these errors were encountered: