Arbeitspapier

Multiple Priors as Similarity Weighted Frequencies

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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 concatenation axiom introduced in BILLOT, GILBOA, SAMET AND SCHMEIDLER (2005) which insures that the sets of priors can be represented as a weighted sum of the observed frequencies of cases. The weights are the uniquely determined similarities between the observed cases and the case under investigation.

Language: Englisch

Bibliographic citation: Series: Discussion Paper Series ; No. 470

Classification: Wirtschaft

Subject: Entscheidung
Statistische Verteilung
Theorie

Event: Geistige Schöpfung

(who): Eichberger, Jürgen
Guerdjikova, Ani

Event: Veröffentlichung

(who): University of Heidelberg, Department of Economics

(where): Heidelberg

(when): 2008

Handle: http://hdl.handle.net/10419/127289

Last update: 10.03.2025, 11:44 AM CET

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Object type

Arbeitspapier

Associated

Eichberger, Jürgen
Guerdjikova, Ani
University of Heidelberg, Department of Economics

Time of origin

2008

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