Conducting Highly Principled Data Science: A Statistician's Job and Joy
arXiv:1712.00544
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.
To appear in the special issue on "The Role of Statistics in the Era of Big Data" in Statistics and Probability Letters (2018)