Huge progress has been made in commodifying both predictive modeling and A/B testing. Less progress has been made in productizing so-called structural models---models based on sufficiently rigorous microfoundations to be able to make informed judgements about the behavior of a system away from the training cases.
In this talk, Jim will walk through a couple of products based on such modeling, including a tool to assist in pricing large portfolios of imperfectly substitutable products, and a tool that can be used to design financial products.
Jim Savage is an applied modeler and Data Science Lead at frontier markets lender Lendable in New York City. Previously he was at the Grattan Institute, La Trobe University, and the Australian Treasury. With Andrew Gelman, Shoshana Vasserman and David Stephan, he is currently writing a book on Bayesian Econometrics in Stan.