Predictor-Corrector Methods are iterative techniques used in numerical analysis to solve ordinary differential equations by predicting a solution at a future point and then refining it using a correction step. This approach enhances stability and accuracy by combining the advantages of explicit and implicit methods, often leading to better convergence properties.