Bayesian Computation with R by Jim Albert
English | PDF | 2009 | 304 Pages | ISBN : 0387922970 | 3.2 MB
There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry.