Currently, the way I provide and use the distributions that marginalize over the possible diagnose times, is quite messy. This is mostly because here are often T-stages (mostly the earliest one) for which I would like to provide a fixed time marginalization, while for all others, I'd like to have a parametrized one that gets updated when new parameters are provided (during sampling, for example).
Currently, the way I provide and use the distributions that marginalize over the possible diagnose times, is quite messy. This is mostly because here are often T-stages (mostly the earliest one) for which I would like to provide a fixed time marginalization, while for all others, I'd like to have a parametrized one that gets updated when new parameters are provided (during sampling, for example).