Papers of interest on the arXiv today – Sept 26th 2016

Posted on Sep 26, 2016 in astro-ph, Bayes, Research

Two interesting papers on the methodology side today: A ML source detection method that detects ultra-faint streaks below the pixel level noise (arXiv:1609.07158). They call it “ML” but in reality it uses MCMC to look at the Bayesian posterior (which is arguably a good thing!) and even Bayesian model comparison (in the BIC variety) to determine […]

Does being on Twitter make you a worse scientist? Yes… a bit.

Posted on Sep 19, 2014 in Bayes, Science, Social Media

I was intrigued by this claim, found in a Twitter survey of the “Top 50 Science Stars on Twitter” that “most high-performing scientists have not embraced Twitter”. That article is debatable on other grounds, as well, in particular in terms of what defines a “Top Scientist” on Twitter. In fact, on closer inspection, the data on […]