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April 1, 2001International Statistical Review58 citations

The Role of Statistics in the Data Revolution?

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JFJerome H. Friedman

Key Points

  • This paper examines the changing nature of data and advocates for statisticians' active participation in developing innovative analytical methods.
  • Analyzes modern methodologies emerging from various fields including AI, machine learning, and data visualization.
  • Explores the current minor role of statistics in the context of evolving data complexity.
  • Discusses reasons for the limited engagement of statisticians in new methodological developments.
  • Identifies emerging trends in data analysis methodologies.
  • Gathers evidence of the growing importance of advanced analytical techniques.
  • Suggests increased collaboration between statisticians and data science fields.

Abstract

Summary The nature of data is rapidly changing. Data sets are becoming increasingly large and complex. Modern methodology for analyzing these new types of data are emerging from the fields of Data Base Managment, Artificial Intelligence, Machine Learning, Pattern Recognition, and Data Visualization. So far Statistics as a field has played a minor role. This paper explores some of the reasons for this, and why statisticians should have an interest in participating in the development of new methods for large and complex data sets.

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Cite This Study

Jerome H. Friedman (2001) studied this question.

synapsesocial.com/papers/6a0e621227a8fd07fe0430dfhttps://doi.org/10.1111/j.1751-5823.2001.tb00474.x
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