Statistical Timing Analysis is a method used in integrated circuit design to predict the performance of a circuit by accounting for variations in manufacturing processes, environmental conditions, and other uncertainties. It provides a more accurate and robust performance estimation compared to traditional deterministic timing analysis by using probability distributions instead of fixed values for timing parameters.