Question: Suppose that the prior distribution p(,) for the parameters , and of a Cauchy distribution is uniform in and , and that two

Suppose that the prior distribution p(µ,σ) for the parameters µ, and σ of a Cauchy distribution

p(x\u,6) = 1  2 + (x - )2

is uniform in µ and σ, and that two observations x1 = 2 and x2 = 6 are available from this distribution. Calculate the value of the posterior density p(µ, σlx) (ignoring the factor 1/π2) to two decimal places for µ, = 0, 2, 4, 6, 8 and σ = 1, 2, 3, 4, 5. Use Simpson's rule to approximate the posterior marginal density of µ, and hence go on to find an approximation to the posterior probability that 3

p(x\u,6) = 1 2 + (x - )2

Step by Step Solution

3.51 Rating (151 Votes )

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock

The posterior density p a is given by Bayes theorem P px P Given that the prior p is uniform and the ... View full answer

blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Bayesian Statistics An Introduction Questions!