Probabilistic methods are techniques used to analyze and make predictions about uncertain events. They rely on the principles of probability, which quantify the likelihood of different outcomes. These methods are widely applied in various fields, including statistics, finance, and machine learning, to model complex systems and make informed decisions based on incomplete information. By using probabilistic models, researchers and analysts can estimate the chances of specific events occurring, allowing for better risk assessment and management. For example, in weather forecasting, probabilistic methods help predict the likelihood of rain, enabling people to plan their activities accordingly.