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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**Tags:** Bayesian computation, Bayesian statistics, Books, Gibbs sampling, MCMC, Monte Carlo, R, Simulation, statistics