Skip to Content
Bayesian Statistics: An Introduction, 4th Edition
book

Bayesian Statistics: An Introduction, 4th Edition

by Peter M. Lee
September 2012
Intermediate to advanced
486 pages
10h 41m
English
Wiley
Content preview from Bayesian Statistics: An Introduction, 4th Edition

10.6 Exercises on Chapter 10

1. Show that in importance sampling the choice

Unnumbered Display Equation

minimizes  even in cases where f(x) is not of constant sign.
2. Suppose that has a Cauchy distribution. It is easily shown that , but we will consider Monte Carlo methods of evaluating this probability.
a. Show that if k is the number of values taken from a random sample of size n with a Cauchy distribution, then k/n is an estimate with variance 0.125 802 7/n.
b. Let p(x)=2/x2, so that  . Show that if  is uniformly distributed over the unit interval then y=2/x has the density p(x) and that all values of y satisfy  and hence that

Unnumbered Display Equation

gives an estimate of  by importance sampling.
c. Deduce that if  are independent U(0, ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Bayesian Data Analysis, Third Edition, 3rd Edition

Bayesian Data Analysis, Third Edition, 3rd Edition

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
Introduction to Probability

Introduction to Probability

Joseph K. Blitzstein, Jessica Hwang

Publisher Resources

ISBN: 9781118359778Purchase book