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To Be a Frequentist or Bayesian? Five Positions in a Spectrum

  • Lin H
Harvard Data Science Review (2024) 6(3)
DOI: 10.1162/99608f92.9a53b923
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Abstract

Bayesianism in the foundations of statistics. Instead of two dichotomized views, he proposes a spectrum with five positions-from radical frequentism to radical Bayesianism with intermediate views in between-on the basis of the existing practice of statistical science.

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APA

Lin, H. (2024). To Be a Frequentist or Bayesian? Five Positions in a Spectrum. Harvard Data Science Review, 6(3). https://doi.org/10.1162/99608f92.9a53b923

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