A practical guide to big data

Ekaterina Smirnova; Andrada Ivanescu; Jiawei Bai; Ciprian M Crainiceanu

doi:10.1016/j.spl.2018.02.014

A practical guide to big data

Stat Probab Lett. 2018 May:136:25-29. doi: 10.1016/j.spl.2018.02.014. Epub 2018 Mar 1.

Authors

Ekaterina Smirnova¹, Andrada Ivanescu², Jiawei Bai³, Ciprian M Crainiceanu⁴

Affiliations

¹ Assistant Professor, Department of Mathematical Sciences, University of Montana, 32 Campus Dr, Missoula, MT 59812.
² Assistant Professor, Department of Mathematical Sciences, Montclair University, 1 Normal Avenue Montclair, NJ 07043.
³ Assistant Scientist, Department of Biostatistics, Johns Hopkins University, 615 N. Wolfe St. Baltimore, MD 21205 USA.
⁴ Professor, Department of Biostatistics, Johns Hopkins University, 615 N. Wolfe St. Baltimore, MD 21205 USA.

Abstract

Big Data is increasingly prevalent in science and data analysis. We provide a short tutorial for adapting to these changes and making the necessary adjustments to the academic culture to keep Biostatistics truly impactful in scientific research.

Abstract

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