Conducting Highly Principled Data Science: A Statistician's Job and Joy
Host
Department of Applied MathematicsSpeaker
Xiao-Li MengDepartment of Statistics, Harvard University
https://statistics.fas.harvard.edu/people/xiao-li-meng
Description
This talk is based on Meng (2018, pp 51-57), a contribution to the special issue on ``The Role of Statistics in the Era of Big Data" organized by Statistics and Probability Letters, with the title above and the following abstract: ``Highly Principled Data Science insists on methodologies that are: (1) scientifically justified; (2) statistically principled; and (3) computationally efficient. An astrostatistics collaboration, together with some reminiscences, illustrates the increased roles statisticians can and should play to ensure this trio, and to advance the science of data along the way".