Title: "AutoStat@Big2Data.IoT (Statistics for Internet of Things)"
Speaker: Dennis K.J. Lin, Department of Statistics, Pennsylvania State University

Place: BEERING 2280
Date: April 5, 2016; Tuesday
Time: 4:30pm

After noting the relative absence of statisticians from the community of practice engaged with big data, we explain what is big data, how it's done, and explore the post-BigData era on "Internet of Thing" (IoT). Statisticians have much more to contribute in both the intellectual vitality and the practical utility of big data. At the same time, big data challenges statisticians to move out of some familiar habits to engage less structured problems, to become more comfortable with ambiguity, and to engage computer scientists in a more fruitful discussion of what the various parties can bring to this new mode of investigation. One particular focus is about Auto-Statistics. This talk is mainly based upon my 2014 joint paper with Dr. John Jordan.

Associated reading:
J.M. Jordan and D.K.J. Lin. 2014. Statistics for Big Data: Are Statisticians Ready for Big Data? www.icsa.org. January 2014 Vol.26/1

Click here www.stat.purdue.edu/~doerge/BIOINFORM.D/SPRING16/sem.html for a full schedule of BIOINFORMATICS SEMINARS, past and present.