Stochastic Processes

Stochastic processes are sequences of random variables that evolve over time, used to model systems where uncertainty plays a key role. They capture the unpredictable nature of real-world phenomena, from stock market fluctuations to particle movements in physics, and have become essential in modern data analysis for handling variability and making probabilistic forecasts.