Lecture 8 - The Monte Carlo Method for Estimating Expectations#

Objectives#

  • Define the uncertainty propagation problem mathematically.

  • Demonstrate the curse of dimensionality and explain why it makes the uncertainty propagation problem very hard.

  • Explain the law of large numbers, which forms the basis of all sampling methods for uncertainty propagation.

  • Use the law of large numbers to estimate the variance of a quantity of interest using just samples.