What Challenges are Associated with Model Updating?
Several challenges can complicate model updating:
Data Quality: Inaccurate or incomplete data can lead to erroneous updates. Computational Complexity: Some models require significant computational resources for updating. Parameter Uncertainty: Uncertainty in parameter estimates can propagate through the model. Model Complexity: Highly complex models may be difficult to update and interpret.
