Di Cook Award: Promoting Open Source Statistical Software Development

Statistical Computing and Visualisation section proudly presents the Di Cook Award webinar, promoting open-source statistical software development. 

There were many excellent submissions in this round. Come along to hear from this year's winner Xiaolei (Adam) Wang for his work on the bsvarSIGNs package. This software implements state-of-the-art algorithms for the Bayesian analysis of Structural Vector Autoregressions identified by sign, zero, and narrative restrictions.

We will also be hosting some lightning talks from other notable entries!