and then maximizing that lower bound another approach is to use a Markov chain to make an estimate of the density function or of its gradient both of these families incur some disadvantages from the approximations that they use finally we may give up altogether on having an explicit density function and instead we represent the density function implicitly this is the rightmost branch of the tree one of the main ways that you can implicitly represent a probability distribution is to design a procedure that can draw