Problem 6. For each problem clearly describe the conditional distribution of each coordinate given the others. Then describe the procedure for ruiming Gibbs sampling to sample from the joint distribution. Assume that Gibbs sampling works for continuous densities as well as discrete distributions. Guess the conditional from the structure of the joint distribution. Avoid doing integration as much as possible. Use your knowledge of the all the named one dimensional distributions/ densities. (b) For xed p, sample from the mixed joint pmf/pdf: f(n, t) = %(l p)"_le_"t, t > 0, n = 1,2, . . . , where Z is the normalizing constant