4. Computational Modeling

Model Calibration — Quiz

Test your understanding of model calibration with 5 practice questions.

Practice Questions

Question 1

Which identifiability concept assesses whether model parameters can be uniquely determined from perfect, noise-free observations?

Question 2

Which derivative-free optimization algorithm uses a simplex of points to search for the minimum without computing gradients?

Question 3

In trust-region methods for nonlinear calibration, the trust-region radius is increased when the ratio $\rho = \frac{\text{actual reduction}}{\text{predicted reduction}} = \frac{C(p_k)-C(p_k+\delta p)}{m_k(0)-m_k(\delta p)}$ exceeds which threshold?

Question 4

What is the primary purpose of employing a surrogate model (e.g., Gaussian process emulator) in the calibration of computationally expensive simulations?

Question 5

In MCMC-based Bayesian calibration, the \burn-in\" period refers to:"