Bayesian Optimization is a method used to optimize complex functions that are expensive to evaluate. It is particularly useful in scenarios where the function does not have a simple analytical form. In the context of epidemiology, it can be applied to optimize models and interventions aimed at controlling the spread of infectious diseases.
