Speaker

Dennis K.J. Lin , Penn State University, USA           

　　Title

Statistics, Computer and Big Data                   

　　Time

　　Venue

数学院南楼N202 

　　Abstract

Classical statistical inference, which based upon limited samples to inference the entire population, is now challenged by the new era of data-rich environment—in some cases, the entire population data is available!   After noting the relative absence of statisticians from the community of practice engaged with big data, in this talk we explain what big data is, how it's done, and who's working with it.  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.  At the end of this talk, we propose some potential directions for future research.

　　Affiliation