Tag: Stochastic Processes

  • Monte Carlo Simulation

    Monte Carlo Simulation

    Utilizing statistical sampling, Monte Carlo Simulation offers insights into risk and uncertainty within predictive models. By generating a spectrum of outcomes from random inputs, it finds applications in fields like finance and engineering. Its precision is contingent on the accuracy of the underlying model and inputs.