Solution manual for Introducing Monte Carlo Methods with R

January 19, 2010
By

(This article was first published on Xi'an's Og » R, and kindly contributed to R-bloggers)

After the complete solution manual for Bayesian Core, the solution manual for the odd numbered exercises of “Introducing Monte Carlo Methods with R” is now arXived. The fuller 133 page version for instructors is available from Springer Verlag by demand only, in order to keep the appeal of the book as a textbook (even though this is open to debate). Since the LaTeX code is available from the arXiv deposit, it can also be used and modified freely. (It may be argued that publishing a solution manual on arXiv is somehow borderline, because, while it is hopefully useful to readers and original, it does not truly qualify as research. And won’t be published anywhere else. I agree with this perspective but the final decision was up to the administrators of the site who did not object. So I do not complain!)

The warnings associated with publishing the complete solution manual for Bayesian Core, are worth repeating with this solution manual for “Introducing Monte Carlo Methods with R”, namely that “some self-study readers will undoubtedly come to the realisation that the solutions provided here are too sketchy for them because the way we wrote those solutions assumes some minimal familiarity with the maths, with the probability theory and with the statistics behind the arguments. There is unfortunately a limit to the time and to the efforts we can dedicate to this solution manual“, which is about a week for both manuals. As of earlier, comments and suggestions are welcome.


Posted in Books, R, Statistics Tagged: Bayesian Core, Introducing Monte Carlo Methods with R, solution manual

To leave a comment for the author, please follow the link and comment on his blog: Xi'an's Og » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , , ,

Comments are closed.