Refining the concept of scientific inference when working with big data : proceedings of a workshop / Ben A. Wender, rapporteur ; Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and their Applications, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine.

Refining the concept of scientific inference when working with big data : proceedings of a workshop /

The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that h...

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Bibliographic Details
Main Author: Wender, Ben A. (rapporteur.)
Corporate Author: Refining the Concept of Scientific Inference When Working with Big Data (Workshop)
Format: Electronic Conference Proceeding eBook
Language:English
Published: Washington (DC) : National Academies Press (US), 2017.
Subjects:
Big data > Congresses.
Mathematical statistics > Congresses.
Science > Methodology > Congresses.
Experimental design > Congresses.
Science.
Data sets.
Statistics.
sciences (philosophy)
science (modern discipline)
statistics.
Science
Datasets as Topic
Statistics as Topic
proceedings (reports)
Conference papers and proceedings.
Congress
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central
Table of Contents:
  • Introduction
  • Framing the workshop
  • Inference about discoveries basedon integration of diverse data sets
  • Inference about causal discoveries driven by large observational data
  • Inference when regularization is used to simplify fitting of high-dimensional models
  • Panel discussion
  • References
  • Appendixes.

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