Big Data and Neuroimaging

Yenny Webb-Vargas, Shaojie Chen, Aaron Fisher, Amanda Mejia, Yuting Xu, Ciprian Crainiceanu, Brian Caffo, Martin A. Lindquist

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)543-558
Number of pages16
JournalStatistics in Biosciences
Volume9
Issue number2
DOIs
StatePublished - Dec 1 2017

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)

Fingerprint

Dive into the research topics of 'Big Data and Neuroimaging'. Together they form a unique fingerprint.

Cite this