A box contains m = 5 balls, of which r are red and the rest black. The unknown quantity is r. Our prior distribution is that each value r = 0, 1,...,m has equal probability. We are told that twice, a ball was taken out and immediately replaced, and both times the ball was red. (a) Write down the likelihood for the observed data. What is the maximum likelihood estimate for r? (b) Derive the normalized posterior distribution for r. What is the posterior mean for r? (c) Find the posterior predictive probability that if another ball is taken from the box, it is black.
A box contains m = 5 balls, of which r are red and the rest black. The unknown quantity is r. Our prior distribution is that each value r = 0, 1,...,m has equal probability. We are told that twice, a ball was taken out and immediately replaced, and both times the ball was red. (a) Write down the likelihood for the observed data. What is the maximum likelihood estimate for r? (b) Derive the normalized posterior distribution for r. What is the posterior mean for r? (c) Find the posterior predictive probability that if another ball is taken from the box, it is black.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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