The SAS Data Science Blog
Advanced analytics from SAS data scientists
I recently read the book "Die Zahl die aus der Kälte kam" (which would be The Number That Came in from the Cold in English) written by the Austrian mathematician Rudolf Taschner. He is ingenious at presenting complex mathematical relationships to a broader audience. One of his examples deals with
It is said that everything is big in Texas, and that includes big data. During my recent trip to Austin I had the privilege of being a judge in the final round of the Texata Big Data World Championship, a fantastic example of big data competitions. It felt fitting that
As an economist, I started at SAS with a disadvantage when it comes to predictive modeling. After all, like most economists, I was taught how to estimate marginal effects of various programs, or treatment effects, with non-experimental data. We use a variety of identification assumptions and quasi-experiments to make causal