Conducting highly principled data science: A statistician’s job and joy

Xiao-Li Meng

Statistics & Probability Letters, 2018, vol. 136, issue C, 51-57

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.

Keywords: Astrostatistics; Computational efficiency; Principled corner cutting; Scientific justification (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1016/j.spl.2018.02.053

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