I'll be presenting a keynote talk at the upcoming NASSCOM Big Data & Analytics Summit on Friday, June 27, 2014. In earlier talks, I have been emphasizing and introducing the advantages of predictive analytics. In this talk, I start from predictive analytics and move on to causal explanation.
Earlier this month, Inbal Yahav (Bar Ilan University) and I presented our joint work on detecting Simpson's Paradox in big data as a poster at ECIS 2014 (thanks to the many interested visitors!), and at 2014 SCECR. This work describes an unusual use of classification and regression trees for a causal goal, rather than their normal use in prediction. We develop a tree variant that helps detect possible paradoxes in large datasets.
I will be delivering a talk on "To Explain or To Predict?" at the Institute of Statistical Science, Academia Sinica in Taipei, on September 9, 2013. For more information, see the announcement page or the attached.
Joint event of Israel Statistical Association and Tel Aviv University's Dept of Statistics and OR on "To Explain or To Predict?" will take on July 9, at Melamed Auditorium 15:00-17:30. I will give the opening talk, followed by three discussants: Prof. Shlomo Havlin (Dept of Physics, Bar Ilan University), Prof. Irad Ben-Gal (Dept of Industrial Engineering, Tel Aviv University), and Prof. Uri Goldbourt (Dept.