Abstract
Big Data are of increasing importance in a variety of areas, especially in the biosciences. There is an emerging critical need for Big Data tools and methods, because of the potential impact of advancements in these areas. Importantly, statisticians and statistical thinking have a major role to play in creating meaningful progress in this arena. We would like to emphasize this point in this special issue, as it highlights both the dramatic need for statistical input for Big Data analysis and for a greater number of statisticians working on Big Data problems. We use the field of statistical neuroimaging to demonstrate these points. As such, this paper covers several applications and novel methodological developments of Big Data tools applied to neuroimaging data.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | Statistics in Biosciences |
| DOIs | |
| State | Accepted/In press - May 22 2017 |
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Keywords
- Big Data
- Data fusion
- Dynamic networks
- High-dimensional causal inference
- High-dimensional computation
- High-dimensional inference
- Neuroimaging
- Shrinkage
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry, Genetics and Molecular Biology (miscellaneous)
Cite this
Big Data and Neuroimaging. / Webb-Vargas, Yenny; Chen, Shaojie; Fisher, Aaron; Mejia, Amanda; Xu, Yuting; Crainiceanu, Ciprian M; Caffo, Brian S; Lindquist, Martin.
In: Statistics in Biosciences, 22.05.2017, p. 1-16.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Big Data and Neuroimaging
AU - Webb-Vargas, Yenny
AU - Chen, Shaojie
AU - Fisher, Aaron
AU - Mejia, Amanda
AU - Xu, Yuting
AU - Crainiceanu, Ciprian M
AU - Caffo, Brian S
AU - Lindquist, Martin
PY - 2017/5/22
Y1 - 2017/5/22
N2 - Big Data are of increasing importance in a variety of areas, especially in the biosciences. There is an emerging critical need for Big Data tools and methods, because of the potential impact of advancements in these areas. Importantly, statisticians and statistical thinking have a major role to play in creating meaningful progress in this arena. We would like to emphasize this point in this special issue, as it highlights both the dramatic need for statistical input for Big Data analysis and for a greater number of statisticians working on Big Data problems. We use the field of statistical neuroimaging to demonstrate these points. As such, this paper covers several applications and novel methodological developments of Big Data tools applied to neuroimaging data.
AB - Big Data are of increasing importance in a variety of areas, especially in the biosciences. There is an emerging critical need for Big Data tools and methods, because of the potential impact of advancements in these areas. Importantly, statisticians and statistical thinking have a major role to play in creating meaningful progress in this arena. We would like to emphasize this point in this special issue, as it highlights both the dramatic need for statistical input for Big Data analysis and for a greater number of statisticians working on Big Data problems. We use the field of statistical neuroimaging to demonstrate these points. As such, this paper covers several applications and novel methodological developments of Big Data tools applied to neuroimaging data.
KW - Big Data
KW - Data fusion
KW - Dynamic networks
KW - High-dimensional causal inference
KW - High-dimensional computation
KW - High-dimensional inference
KW - Neuroimaging
KW - Shrinkage
UR - http://www.scopus.com/inward/record.url?scp=85019831725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019831725&partnerID=8YFLogxK
U2 - 10.1007/s12561-017-9195-y
DO - 10.1007/s12561-017-9195-y
M3 - Article
C2 - 29335670
AN - SCOPUS:85019831725
SP - 1
EP - 16
JO - Statistics in Biosciences
JF - Statistics in Biosciences
SN - 1867-1764
ER -