Auxiliary variables are introduced as a method for calculating a single function of multiple random variables, through a two-stage process of using the probability transformation rule followed by marginalisation. While there alternative methods for calculating a single function of multiple random variables, the auxiliary variable method is very algorithmic. More generally, the auxiliary variable method is for transforming N random variables to M random variables, where M < N. The video presents several problems of varying complexities and choice of auxiliary variables.