You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
It would be great to have the feature of a PEtabSDEProblem, where the model is not a ODe but a SDE.
Maybe for a start, supporting the conversion of a SBML model to an SDEProblem would be a good step.
The text was updated successfully, but these errors were encountered:
This should be doable, especially when the model is provided as a Catalyst ReactionSystem, or if the model is provided via a SBML file. Moreover, the same parameter mapping structs which are used PEtabODEProblem can probably also be used.
The natural question is what functionality a PEtabSDEProblem should support. Currently the PEtabODEProblem contains functions for computing the likelihood, and its gradients. Now for a SDE computing the likelihood is seldom possible. So I was thinking the output should be easy to integrate with methods like ABC, and pseudo-marginal particle MCMC. So how about the PEtabSDEProblem containing functions for:
Computing the observable for observed time-points
Computing the SDE solution for a provided experimental condition
Computing the SDE solution between two time-points (for particle filters).
It would be great to have the feature of a PEtabSDEProblem, where the model is not a ODe but a SDE.
Maybe for a start, supporting the conversion of a SBML model to an
SDEProblem
would be a good step.The text was updated successfully, but these errors were encountered: