Identifiability Analysis

Identifiability Analysis (IA) ensures that identified parameters can be trusted, i.e. have a small uncertainty

The Laplace Approximation

The Laplace approximation makes an approximation of your parameter posterior distribution, assuming it is gaussian. This uses the Hessian of the log-likelihood with respect to the parameters.

IA in Circulatory_Autogen

IA is run following a parameter identification run.

Configuration for user_inputs.yaml

To run IA, you need to set

do_id_analysis: True

and add a specific ia_options block to your user_inputs.yaml configuration file:

ia_options: 
    method: 'Laplace' 

Currently, the available options for the method are 'Laplace'.