Neal Fultz – Going Bayesian in Ad Tech – Two Case Studies

In online advertising, our data is fast and sparse, which can undermine traditional analyses. This session presents two applications of Bayesian methods: the first case is detecting changes in click-through-rate (CTR) in a series of web traffic from end users; the second case is estimating market depth using series of ad network data. In both cases, going Bayesian allowed us to use lower-level data directly to answer high-level strategic questions.
By Neal Fultz – Principal Data Scientist at Openmail

At Southern California Data Science Conference Sept.25.2016 at USC

http://socaldatascience.org/
http://www.datalaus.com/en/