Multiple priors as similarity weighted frequencies

In this paper, we consider a decision-maker who tries to learn the distribution of outcomes from previously observed cases. For each observed sequence of cases the decision-maker predicts a set of priors expressing his beliefs about the underlying probability distribution. We impose a version of the...

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Bibliographic Details
Main Authors: Eichberger, Jürgen (Author) , Guerdjikova, Ani (Author)
Format: Book/Monograph Working Paper
Language:English
Published: Heidelberg University of Heidelberg, Department of Economics 26 May 2008
Series:Discussion paper series / Universität Heidelberg, Department of Economics no. 470
In: Discussion paper series (no. 470)

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Online Access:Resolving-System, Volltext: http://hdl.handle.net/10419/127289
Verlag, Volltext: http://www.awi.uni-heidelberg.de/with2/Discussion%20papers/papers/dp470.pdf
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Author Notes:Jürgen Eichberger and Ani Guerdjikova
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Multiple priors as similarity weighted frequencies


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