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– In Exercise 8.1, we need a bit more stability in the Markov chain to ensure that it has a finite variance. The assumption that both first moments are finite is not enough. Thomas Clerc from Fribourg also pointed out to me that the lazy programming (I stole from my R course students!) of the form beta=c(beta,betaprop) should not be encouraged!
– in Example 8.9,
– in Exercise 8.7, it is the distribution on
– in Exercise 3.17, George Casella found another typo, namely that in question b it should be
Posted in Books, R, Statistics Tagged: Introducing Monte Carlo Methods with R, MCMC, Monte Carlo methods, simulation, typos
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