Title:      Objections to Bayesian statistics

Authors:    Andrew Gelman

Entrydate:  2008-06-01 20:51:08

Keywords:   comparison of methods, foundations of statistics

Abstract:   Bayesian inference is one of the more controversial
approaches to statistics. The fundamental objections to Bayesian
methods are twofold: on one hand, Bayesian methods are presented
as an automatic inference engine, and this
raises suspicion in anyone with applied experience. The second
objection to Bayes comes from the opposite direction and
addresses the subjective strand of Bayesian inference. This
article presents a series of objections to Bayesian inference,
written in the voice of a hypothetical anti-Bayesian
statistician. The article is intended to
elicit elaborations and extensions of these and other arguments
from non-Bayesians and responses from Bayesians who might have
different perspectives on these issues.

http://polmeth.wustl.edu/retrieve.php?id=750

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