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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wender, Ben A. (rapporteur.)
Autor Corporativo: Refining the Concept of Scientific Inference When Working with Big Data (Workshop)
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Washington (DC) : National Academies Press (US), 2017.
Temas:
Big data > Congresses.
Mathematical statistics > Congresses.
Science > Methodology > Congresses.
Experimental design > Congresses.
Science.
Data sets.
Statistics.
Données volumineuses > Congrès.
Sciences > Méthodologie > Congrès.
Plan d'expérience > Congrès.
Sciences.
Jeux de données.
Statistiques.
Statistique.
sciences (philosophy)
science (modern discipline)
statistics.
MATHEMATICS > Essays.
MATHEMATICS > Pre-Calculus.
MATHEMATICS > Reference.
Statistics
Science
Data sets
Big data
Experimental design
Mathematical statistics
Science > Methodology
Datasets as Topic
Statistics as Topic
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Congress
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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