This is very much an elementary treatise. Not directed at the professional researcher in finance, who should already have an extensive background in statistics. But the discussion in the book is detailed enough for a qualitative understanding of what such researchers use.



Take Monte Carlo simulations as a good example. You see how given a probability distribution, random numbers can be generated from it, to test a model based on that distribution. Conceptually, it is as simple as that.



Another key idea is how to develop and test strategies inside a Bayesian network. Again, the narrative keeps the maths to a minimum necessary to grasp the underlying ideas.