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

Ekaterina Smirnova, Andrada Ivanescu, Jiawei Bai, Ciprian M. Crainiceanu

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English
Pages (from-to)	25-29
Number of pages	5
Journal	Statistics and Probability Letters
Volume	136
DOIs	https://doi.org/10.1016/j.spl.2018.02.014
State	Published - May 2018

Keywords

Accelerometer
Big data
Wearable and implantable computing

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10.1016/j.spl.2018.02.014

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title = "A practical guide to big data",

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.",

keywords = "Accelerometer, Big data, Wearable and implantable computing",

author = "Ekaterina Smirnova and Andrada Ivanescu and Jiawei Bai and Crainiceanu, \{Ciprian M.\}",

note = "Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",

year = "2018",

month = may,

doi = "10.1016/j.spl.2018.02.014",

language = "English",

volume = "136",

pages = "25--29",

journal = "Statistics and Probability Letters",

issn = "0167-7152",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - A practical guide to big data

AU - Smirnova, Ekaterina

AU - Ivanescu, Andrada

AU - Bai, Jiawei

AU - Crainiceanu, Ciprian M.

PY - 2018/5

Y1 - 2018/5

N2 - 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.

AB - 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.

KW - Accelerometer

KW - Big data

KW - Wearable and implantable computing

UR - https://www.scopus.com/pages/publications/85043991882

U2 - 10.1016/j.spl.2018.02.014

DO - 10.1016/j.spl.2018.02.014

M3 - Article

AN - SCOPUS:85043991882

SN - 0167-7152

VL - 136

SP - 25

EP - 29

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

ER -

A practical guide to big data

Abstract

Keywords

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