Suppose that X is a negative binomial random variable, where px (kt) = (¹)t5(1-t) k-5, k = 5, 6, . . . . Assume that the
Posted: Thu May 05, 2022 8:15 pm
Suppose that X is a negative binomial random variable, where px (k|t) = (*=1) 15 (1 - 1)k-5, k =
5, 6, . . . . Assume that the prior distribution fort is uniform distribution on [0,1]. Find the
posterior distribution for t, i.e. P(t|k) for t=0.204, k=6.
Suppose that X is a negative binomial random variable, where px (kt) = (¹)t5(1-t) k-5, k = 5, 6, . . . . Assume that the prior distribution for t is uniform distribution on [0,1]. Find the posterior distribution for t, i.e. P(t|k) for t=0.204, k=6. Answer:
5, 6, . . . . Assume that the prior distribution fort is uniform distribution on [0,1]. Find the
posterior distribution for t, i.e. P(t|k) for t=0.204, k=6.
Suppose that X is a negative binomial random variable, where px (kt) = (¹)t5(1-t) k-5, k = 5, 6, . . . . Assume that the prior distribution for t is uniform distribution on [0,1]. Find the posterior distribution for t, i.e. P(t|k) for t=0.204, k=6. Answer: