A method for Sampling Bernoulli Variables
Probability
2023-09-11 v1
Abstract
We introduce new method for generating correlated or uncorrelated Bernoulli random variables by using the binary expansion of a continuous random variable with support on the unit interval. We show that when this variable has a symmetric probability density function around 12 , its binary expansion provides equiprobable bits over {0, 1}. In addition we prove that when the random variable is uniformly distributed over [0, 1], its binary expansion generates independent Bernoulli random variables. Moreover, we give examples where, by choosing some parameterized nonuniform probability density functions over [0, 1], samples of Bernoulli variables with specific correlation values are generated.
Cite
@article{arxiv.2309.03967,
title = {A method for Sampling Bernoulli Variables},
author = {Francisco Marcos de Assis and Juliana Martins de Assis and Micael Andrade Dias},
journal= {arXiv preprint arXiv:2309.03967},
year = {2023}
}
Comments
11 pages, 3 figures