Ontology highlight
ABSTRACT:
SUBMITTER: Drovandi CC
PROVIDER: S-EPMC5584669 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature
Statistical science : a review journal of the Institute of Mathematical Statistics 20170801 3
Big Datasets are endemic, but are often notoriously difficult to analyse because of their size, heterogeneity and quality. The purpose of this paper is to open a discourse on the potential for modern decision theoretic optimal experimental design methods, which by their very nature have traditionally been applied prospectively, to improve the analysis of Big Data through retrospective designed sampling in order to answer particular questions of interest. By appealing to a range of examples, it i ...[more]