A Practical Guide to Big Data

Authors

Ekaterina Smirnova, University of Montana
Andrada Ivanescu, Montclair State UniversityFollow
Jiawei Bai, Johns Hopkins University
Ciprian M. Crainiceanu, Leeds Teaching Hospitals NHS Trust

Document Type

Article

Publication Date

5-1-2018

Journal / Book Title

Statistics & Probability Letters

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.

DOI

10.1016/j.spl.2018.02.014

MSU Digital Commons Citation

Smirnova, Ekaterina; Ivanescu, Andrada; Bai, Jiawei; and Crainiceanu, Ciprian M., "A Practical Guide to Big Data" (2018). Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works. 4.
https://digitalcommons.montclair.edu/appliedmath-stats-facpubs/4

Published Citation

Smirnova, E., Ivanescu, A., Bai, J., & Crainiceanu, C. M. (2018). A practical guide to big data. Statistics & probability letters, 136, 25-29.