The New Jersey Chapter held its 34th annual symposium on June 7 at the University of Medicine and Dentistry of NJ (UMDNJ). The theme was “Big Data, Data Mining, and Data Visualization in the 21st Century: Evolution of Statistical Approaches.”
More than 70 statisticians, representing disciplines from academia to industry, attended the symposium, which included the following talks:
- “From High-Dimensional Data to Big Data” by Han Liu of Princeton University
- “Are Observational Studies Any Good?” by David Madigan of Columbia University
- “Models for Millions” by Bob Stine from the University of Pennsylvania
- “Shaping Cities of the Future Using Mobile Data” by Chris Volinsky of AT&T Research Labs
- “A Split-and-Conquer Approach for Analysis of Extremely Large Data” by Min-ge Xie, Rutgers University
Leave a Reply