Posterior samples

Josh Tucker at the Monkey Cage and Jeff Leek at Simply Statistics have some good ideas and goals as to how to make academic conferences more interesting. Opening up the conference with live streaming is a cheap way to engage the wider public (but risks potential attendees deciding to stay home and watch rather than engaging with the rest of the conference). A youth session is also a really good way to engage in some inter-generational communication by giving the younger researchers a stage for setting out their vision.

These journals wouldn’t view publication of data as prior publication when assessing an article based on that data.

I spent last week in Sydney with Guy Marks’ group at the Woolcock Institute of Medical Research. I first met Marks at Bayesian data analysis course run by Kerrie Mengersen; he does work on tuberculosis in Vietnam. Christian Robert, a collaborator of Mengersen’s, just gave 40 students in Ho Chi Minh City a crash course in Bayesian statistics. The slides are available here.

Speaking of Bayesian stats, the term “derp” is apparently a Bayesian way of describing the way someone believes something so strongly (their prior) that they can not be swayed by data.

I’m going to be doing a lot more work teaching people how to use R in the near future. This looks like a handy resource for beginners.


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