Paper announcement

[David Wolpert]

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Reconciling Bayesian and non-Bayesian analysis.


by D. Wolpert.



8 pages long. To appear in "Maximum Entropy and Bayesian Methods",
G. Heidberder (Ed.)



Abstract: This paper shows that when one extends Bayesian analysis to
distinguish the truth from one's guess for the truth, one gains a
broader perspective which allows the inclusion of non-Bayesian
formalisms.  This perspective shows how it is possible for
non-Bayesian techniques to perform well, despite their handicaps.  It
also highlights some difficulties with the ``degree of belief"
interpretation of probability.


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David Wolpert
The Santa Fe Institute
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