More typos in Chapter 5

Following Ashley’s latest comments on Chapter 5 of Introducing Monte Carlo Methods with R, I realised Example 5.5 was totally off-the-mark! Not only the representation of the likelihood should have used prod instead of mean, not only the constant should call the val argument of integrate, not only integrate  uses lower and upper rather than […]

More typos [mcsm.6]

Edward Kao found some typos in Problems 6.22 and 6.24 of the Markov chapter of Monte Carlo Statistical Methods: – on page 250, Problem 6.22 (d) should be phrased as “show that the invariant distribution is also the limiting distribution of the chain” instead of the obvious “show that the invariant distribution is also the […]

More typos

Edward Kao found a few more typos in the Markov chapter of  Monte Carlo Statistical Methods: – on page 211, the kernel is called P instead of K twice. – on page 212, the inequality in should be reversed. – on page 213, in Example 6.14, the state size K should be M. – on […]

Typos…

Edward Kao just sent another typo found both in  Monte Carlo Statistical Methods (Problem 3.21) and in Introducing Monte Carlo Methods with R (Exercise 3.17), namely that should be I also got another email from Jerry Sin mentioning that matrix summation in the matrix commands of Figure 1.2 of Introducing Monte Carlo Methods with R […]

Typos in Chapters 1, 4 & 8

Thomas Clerc from Fribourg pointed out an embarassing typo in Chapter 8 of “Introducing Monte Carlo Methods with R”, namely that I defined on page 247 the complex number as the squared root of 1 and not of -1! Not that this impacts much on the remainder of the book but still an embarassment!!! An […]