Moving beyond simple expected values to include CVaR (Conditional Value at Risk).
The authors and publishers have made significant portions of this knowledge available for free legally. How to Access the Content Legally for Free
Shapiro and his co-authors rigorously prove that as your sample size increases, the solution to your approximation problem converges to the true solution. This provides the theoretical bedrock for modern data-driven optimization. It assures practitioners that using Monte Carlo simulations to approximate a problem isn't just a heuristic—it is statistically sound mathematics.
:
3. Sample Average Approximation (SAA) & Statistical Inference
It is published by SIAM (Society for Industrial and Applied Mathematics). SIAM is not exactly known for leaking DRM-free copies to the dark corners of LibGen.