R Tutorial with Bayesian Statistics Using OpenBUGS
This text provides R tutorials for statistics including hypothesis testing, ANOVA and linear regression. It fulfills popular demands from users of r-tutor.com for exercise solutions and offline access.
The new chapters in Part III are all about Bayesian statistics. We discuss closed analytic solutions in simple Bayesian terms while building basic BUGS models. Then we focus on OpenBUGS for Bayesian ANOVA and regression. At conclusion, we show how to build more complex Bayesian models, and demonstrate CODA for Markov Chain Monte Carlo (MCMC) convergence.
The last part of this text discusses advanced GPU computing in R using the RPUDPLUS package. Topics include hierarchical clustering, Kendall's Tau, and Support Vector Machines. It proves the importance of High Performance Computing (HPC) in the future of statistics.
This eBook is published in Amazon Kindle format. It is a great tool for self-study. You can download the R source code of the tutorials and exercise solutions here.
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