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Another interesting paper hidden behind the academic firewall.


At least in the physics world people just post everything to arXiv and their personal websites. This way you only need to pay attention to a couple of places to keep up to date.


As I said in another thread, most computer science papers are on authors' webpages. Then this one comes along - but it looks like the authors are stat people. I don't know what their culture is - and what kind of copyright agreements they sign.

I can access the paper because my school subscribes. If anyone wants to read it, figure out how to email me and I'll send a copy.

While searching, I did find a brief email from Ihaka talking about the jump to Lisp: https://stat.ethz.ch/pipermail/r-devel/2008-May/049501.html


Thanks :-)


Even in certain areas of computer science (specifically, machine learning) nearly all recent articles are open. I find in most cases that both statisticians and computer scientists tend to post links to pdfs or ps on their websites as well.




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