Statistical Theory Powering Data Science

• Junhui Cai ^[1] ; Avishai Mandelbaum ; Nagaraja, Chaitra H. ^[2] ; Haipeng Shen ; Linda Zhao
  1. [1] University of Pennsylvania

     University of Pennsylvania

     City of Philadelphia, Estados Unidos

     
  2. [2] Fordham University

     Fordham University

     Estados Unidos

     
• Localización: Statistical science, ISSN 0883-4237, Vol. 34, Nº. 4, 2019 (Ejemplar dedicado a: Memorial Issue for Lawrence D. Brown), págs. 669-691
• Idioma: inglés
• DOI: 10.1214/19-sts754
• Texto completo no disponible (Saber más ...)
• Resumen

  • Statisticians are finding their place in the emerging field of data science. However, many issues considered “new” in data science have long histories in statistics. Examples of using statistical thinking are illustrated, which range from exploratory data analysis to measuring uncertainty to accommodating nonrandom samples. These examples are then applied to service networks, baseball predictions and official statistics.