A/B Testing for Game Design Iteration: A Bayesian Approach

In this GDC 2014 session, Swyrve's Steven Collins explains why the Bayesian approach to A/B testing and game design, in comparison to the more traditional null hypothesis testing method, permits more dynamic analysis of the information as it arrives (i.e. differences in "behavior" of users subjected to the different variants in the test) and allows for real-time A/B testing and optimization of games. Register for GDC: http://ubm.io/2gk5KTU Join the GDC mailing list: http://www.gdconf.com/subscribe Follow GDC on Twitter: https://twitter.com/Official_GDC GDC talks cover a range of developmental topics including game design, programming, audio, visual arts, business management, production, online games, and much more. We post a fresh GDC video every day. Subscribe to the channel to stay on top of regular updates, and check out GDC Vault for thousands of more in-depth talks from our archives.