Simulation-Based Inference

Simulation-Based Inference (SBI) is a method for estimating unknown properties of a system when traditional analysis is difficult. It involves creating detailed computer models that mimic the system’s behavior under different conditions. By running many simulated scenarios and comparing their results to actual data, SBI helps us infer the most probable parameters or causes behind observed outcomes. This approach is especially useful when mathematical formulas are complex or unavailable, allowing us to draw meaningful insights through extensive computer experiments.