“So much data. Who needs probability?” Have we been here before?

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Abstract

Statisticians have been dealing with the paradoxes of ever more data since the French Revolution. The bigger the data, the more we know, and the more we think we know. Do we still need probability to tell us what we don't know? And what ever made us think, in the first place, that statistics needs probability? This text is adapted from an after-dinner talk given at the Fifth Bayesian, Fiducial, and Frequentist Conference, University of Michigan, May 7, 2018.

Original languageEnglish (US)
Pages (from-to)183-189
Number of pages7
JournalInternational Journal of Approximate Reasoning
Volume141
DOIs
StatePublished - Feb 2022

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Theoretical Computer Science
  • Applied Mathematics

Keywords

  • Data science
  • History of statistics

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