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Could you briefly describe how this might be applicable to agent-based models?
Nice presentation. I am curious about the computational cost of this method. Will this method be numerically tractable even for a large system?
This looks very interesting! How does this method compare with first calculating sensitivity and freezing any non-influential parameters, and *then* calculating identifiability? Is the method you presented faster, or preferable for other reasons?
I had global sensitivity analysis in mind when I was wondering about the comparison, e.g., Sobol. Does that make it more similar to the method you presented?
Are there other models for rection terms you plan to test?