Stochastic Processes

A stochastic process represents a collection of random variables indexed by parameters such as time or space. These mathematical models provide a framework for analyzing how random phenomena evolve in dynamic systems. This fundamental theory connects multiple branches of statistics, offering essential tools for modeling uncertainty and making predictions across diverse applications, from financial markets to physics.