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I've been reading idr sources to complement my understanding of the paper by Li et al. One thing that caught my attention is predefined parameter ranges ranges in __init__.py. The paper doesn't mention any restrictions, so I would appreciate it if you could comment on why these are required and how the ranges were chosen for each parameter?
The text was updated successfully, but these errors were encountered:
superbobry
changed the title
Motivation for parameter ranges
Motivation for parameter clipping
May 6, 2016
There's an identifiability problem in the model. For example, if unconstrained the sd can go to zero, which is effectively the same as the mixture parameter going to 0. I added the constraints to prevent this behavior. If the fit value is at the boundaries, then the model is probably not appropriate. Do you have examples or is the question academic?
I've been reading
idr
sources to complement my understanding of the paper by Li et al. One thing that caught my attention is predefined parameter ranges ranges in__init__.py
. The paper doesn't mention any restrictions, so I would appreciate it if you could comment on why these are required and how the ranges were chosen for each parameter?The text was updated successfully, but these errors were encountered: