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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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