I’ve been a bit bogged down upon getting back from traveling, but here are a few interesting technical tidbits that came through.

Aaron Roth and Cynthia Dwork’s Foundation and Trends monograph on differential privacy is now available.

Speaking of differential privacy, Shiva Kasiviswanathan and Adam Smith have a paper in the Journal of Privacy and Confidentiality on Bayesian interpretations of differential privacy risk.

Deborah Mayo has a post up on whether p-values are error probabilities.

Raymond Yeung is offering a Coursera course on information theory (via the IT Society).

A CS Theory take on Fano’s inequality from Suresh over at the GeomBlog.