When looking around on Amazon, I found that “Introducing Monte Carlo Methods with R” was associated with another very recently published (same day as ours!) book, “Understanding Computational Bayesian Statistics“, by William Bolstad, that seems to mostly cover the same ground as us (with some connections with Bayesian Core for prior modelling in regression and logistic models). Although R seems to be less proeminently advocated than in our Use R! volume, I am quite curious to see what exactly is in this book and how much of a competitor it is! (Given that it is the same length as ours (about 315 pages), I am however a bit surprised at the high $110’s asked for this book.)
Posted in Books, R, Statistics Tagged: Bayesian computation, Bayesian statistics, Gibbs sampling, MCMC, Monte Carlo, R, simulation
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