Generating random vectors from a bivariate random walk density function

Abstract

Two simple algorithms are presented for obtaining random vectors from a bivariate random walk density function. Both algorithms are based on the fact that the bivariate density function can be written as a product of a marginal density function and a conditional density function. An acceptance/rejection technique was used for generating random variates from the conditional density function. The efficiency of the two algorithms was studied.