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Over the weekend and during the R exams, I managed to complete the solution set for Chapters 6 and 7 of “Introducing Monte Carlo Methods with R”. Chapter 6 only exhibited a few typos, despite me covering most exercises in Chapter 6, hence the merging of both chapters.

– in Exercise 6.13, both and must use a double exponential proposal in the Metropolis-Hastings algorithm of question b,

in Exercise 6.15, the distribution should be a normal distribution,

– in Example 7.3, part of the code is wrong: it should be

(I frankly don’t understand where those curly brackets came from!)

– in Example 7.6, I forgot to include the truncation probability in the likelihood (!) and the notations are not completely coherent with Example 5.13 and 5.14 in that the x’s became y’s…

– in Exercise 7.21, rtnorm is missing sigma as one of its arguments.

– Exercise 7.23 has nothing wrong per se but it is rather a formal (mathematical) exercise

– in Exercise 7.25 the in question a should be to avoid any confusion.

Posted in Books, R, Statistics, University life Tagged: Introducing Monte Carlo Methods with R, MCMC, Monte Carlo methods, simulation, typos

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