Subjective Distributions

Itzhak Gilboa; David Schmeidler

doi:https://doi.org/10.1142/9789814366182_0006

Subjective Distributions

Itzhak Gilboa, David Schmeidler

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

A decision maker has to choose one of several random variables, with uncertaintly known distributions. As a Bayesian she behaves as if she knew the distributions. In this paper we suggest an axiomatic derivtion of these (subjective) distributions, which is much more economical than the derivations by de Finetti or Savage. They derive the whole joint distribution of all the available random variables.

Original language	English
Title of host publication	Case-Based Predictions
Subtitle of host publication	An Axiomatic Approach to Prediction, Classification and Statistical Learning
Pages	157-168
Number of pages	12
ISBN (Electronic)	9789814366182
DOIs	https://doi.org/10.1142/9789814366182_0006
State	Published - 1 Jan 2012

All Science Journal Classification (ASJC) codes

General Economics,Econometrics and Finance
General Business,Management and Accounting
General Mathematics

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Subjective Distributions

Abstract

All Science Journal Classification (ASJC) codes

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