Tutorials

We provide several tutorials that showcase the use case for econsa.

• Sampling
• Uncertainty propagation
  • Setup
  • Independent parameters
  • Depdendent paramters
• Qualitative sensitivity analysis
  • Morris Method
    • The func argument
    • The params and cov arguments
    • The n_draws argument
    • The sampling_scheme and seed arguments
    • The n_cores argument
    • The output
      • Independent Morris indices \((\mu_i^{\ast,\ ind}, \sigma_i^{ind})\)
      • Full Morris indices \((\mu_i^{\ast,\ full}, \sigma_i^{full})\)
    • Plotting the results
    • Interpretation
• Quantitative sensitivity analysis
  • Generalized Sobol Indices
  • Shapley Effects
    • Sampling via x_all and x_cond, and the model of interest model
      • Choosing n_perms
      • Choosing the number of Monte Carlo (MC) runs n_output, n_outer, and n_inner
      • When do we use randomly sampled permutations? Choosing method
  • Quantile Based Sensitivity Measures