In this example I demonstrate how to quasi-random number generators behave in different circumstances. The methods investigated are van der Corput seuqnces, Halton sequences, Sobol sequences, and torus sequences. The random numbers are produced using the randtoolbox available in R.
This document (created via R markdown), shows how one can propagate uncertain parameters through a model via simple random sampling and stratified sampling.
In this markdown (source here), we work through an example where we have a lot of variables, but only a few are significant. It demonstrates how different regularized regression techniques, namely ridge and lasso, can be used to tackle this problem with fewer data points than unknowns.