A polemic for Bayesian statistics

Richard E. Neapolitan

doi:10.1007/978-3-540-85066-3_2

A polemic for Bayesian statistics

Richard E. Neapolitan^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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 language	English (US)
Title of host publication	Innovations in Bayesian Networks
Subtitle of host publication	Theory and Applications
Editors	Dawn Holmes, Lakhmi Jain
Pages	7-32
Number of pages	26
DOIs	https://doi.org/10.1007/978-3-540-85066-3_2
State	Published - 2008

Publication series

Name	Studies in Computational Intelligence
Volume	156
ISSN (Print)	1860-949X

ASJC Scopus subject areas

Artificial Intelligence

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10.1007/978-3-540-85066-3_2

Cite this

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abstract = "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.",

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A polemic for Bayesian statistics

Abstract

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ASJC Scopus subject areas

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