Posts Tagged ‘ RNG ’

Variable probability Bernoulli outcomes – Fast and Slow

November 1, 2012
By
Variable probability Bernoulli outcomes – Fast and Slow

I am working on a project that requires the generation of Bernoulli outcomes. Typically, I would go about this using the built in sample() function like so: This works great and is fast, even for large n. Problem is, I want to generate each sample with its own unique probability. Seems straight forward enough, I

Read more »

CLT Standard Normal Generator

April 2, 2010
By
CLT Standard Normal Generator

I’ve found this standard normal random number generator in a number of places, one of which being from one of Paul Wilmott’s books. The idea is that we can use the Central Limit Theorem (CLT) to easily generate values distributed according to a standard normal distribution by using the sum of 12 uniform random

Read more »