Stochastic modeling is a methodological approach used to represent and analyze systems or phenomena that exhibit inherent randomness or uncertainty. It involves developing mathematical models where one or more variables are governed by probability distributions, enabling the investigation, prediction, and simulation of outcomes in probabilistic terms rather than deterministic ones.