Stochastic Modeling

Stochastic modeling is a statistical approach used to predict outcomes in systems that are inherently random. It incorporates randomness and uncertainty into the modeling process, allowing for the simulation of various possible scenarios. Main characteristics include the use of probability distributions and random variables to represent uncertain parameters. Common use cases range from financial forecasting and risk assessment to queuing theory and inventory management. By understanding the probabilistic nature of different variables, analysts can make better-informed decisions based on the modeled outcomes.