Uncertainty Modeling

Uncertainty modeling is a way of understanding and representing the unpredictability or unknowns in data, models, or systems. It involves identifying areas where information might be incomplete, noisy, or variable and quantifying the confidence or risk associated with predictions or decisions. This helps in making more informed choices by accounting for possible errors or variability, rather than relying on a single, definitive answer. Essentially, uncertainty modeling provides a structured approach to assess how certain or uncertain we are about the outcomes, leading to more robust and reliable decision-making.