“This time we will have Per Lunnemann Hansen (Blackwood Seven) present his use of Bayesian Hierarchical Modelling to examine whether there is a gender bias in the awarding of the Nobel Prize in scientific and economic categories (joint work with Mogens Jensen and Liselotte Jaufred from UCPH). They rely on Hamiltonian Monte Carlo for inference, which is available in most packages for probabilistic programming like Pyro, pyMC3 and Stan. MIT review of the paper: https://www.technologyreview.com/s/612349/how-gender-bias-influences-nobel-prizes”

Price: Free

Link: https://www.meetup.com/Pioneers-of-Probabilistic-Programming/events/257182866/