A polemic for Bayesian statistics

Richard E. Neapolitan*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapter


    In the early part of the 20th century, forefathers of current statistical methodology were largely Bayesians. However, by the mid-1930's the Bayesian method fell into disfavor for many, and frequentist statistics became popular. Seventy years later the frequentist method continues to dominate. My purpose here is to compare the Bayesian and frequentist approaches. I argue for Bayesian statistics claiming the following: 1) Bayesian methods solve a wider variety of problems; and 2) It is sometimes difficult to interpret frequentist results.

    Original languageEnglish (US)
    Title of host publicationInnovations in Bayesian Networks
    Subtitle of host publicationTheory and Applications
    EditorsDawn Holmes, Lakhmi Jain
    Number of pages26
    StatePublished - 2008

    Publication series

    NameStudies in Computational Intelligence
    ISSN (Print)1860-949X

    ASJC Scopus subject areas

    • Artificial Intelligence


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