I’ve been on vacation this week, hence the lack of posts while I enjoy the ocean and seeing my family, but here are some links to things I’ve read.
From Mark Liberman at Language Log, Macroscopic bosons among us; apparently graduate course enrollments at UPenn follow Bose-Einstein statistics.
Dionysis Zindros has written a Gentle Introduciton to Algorithm Complexity Analysis.
A network theory analysis of football strategies, by Javier López Peña and Hugo Touchette. (Exercise for the reader: given the names of the authors, what kind of football are we talking about?)
How fivethirtyeight incorporates the economy into its political forecasting models.
Data analysis recipes: probability calculus for inference and Data analysis recipes: fitting a model to data, by David Hogg via John D. Cook and Andrew Gelman. Described as “chapters from a non-existent book.
Hilary Mason, bit.ly’s chief scientist, gave a 33-minute talk “Machine Learning for Hackers”.
Algorithms with finite expected running time and infinite variance, from CS Theory stackexchange.
Laura McLay discusses the optimal false alarm rate for tornado warnings.
From Math Goes Pop!, Ranking baseball teams and Mathematical analysis of the half-your-age-plus-seven rule. (I’d like to see some data for the later.)
Behindness in National Novel Writing Month by Andrew Taylor
How long does it take to get pregnant? by Richie Cotton. (This is self-interested data analysis, as Cotton’s girlfriend has a biological clock.)
Uber asks What San Francisco neighborhood is most like New York?, among other neighborhood-comparison questions.
How to convert rugby scores to football/soccer scores.
I’m looking for a job, in the SF Bay Area. See my linkedin profile.
God plays dice 