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This repository has been archived by the owner on Dec 20, 2024. It is now read-only.
@arokem -- are there any other models in dipy besides tensor, sfm, csd, and maybe csa that could be worth including?
As for SFM, what about using the BayesianRidge solver? ... i.e. where iterations of the entire LOO procedure gradually build a posterior on alpha/lambda?
Alternatively, or in addition, we might try building a generic subject-movement model using a group of subjects and use its predictions as an initializer for the subject-specific model?
The text was updated successfully, but these errors were encountered:
are there any other models in dipy besides tensor, sfm, csd, and maybe csa that could be worth including?
I would not include CSD/CSA. These are models primarily focused on describing the ODF, and not on providing an accurate signal reconstrution. I would definitely include DKI.
As for SFM, what about using the BayesianRidge solver? ... i.e. where iterations of the entire LOO procedure gradually build a posterior on alpha/lambda?
Let's open up new issues for each model we want to implement, and another one for the BayesianRidge solver because it feels like a very promising suggestion.
@arokem -- are there any other models in dipy besides tensor, sfm, csd, and maybe csa that could be worth including?
As for SFM, what about using the BayesianRidge solver? ... i.e. where iterations of the entire LOO procedure gradually build a posterior on alpha/lambda?
Alternatively, or in addition, we might try building a generic subject-movement model using a group of subjects and use its predictions as an initializer for the subject-specific model?
The text was updated successfully, but these errors were encountered: