@article{31a2542c600c4680a4449f932907f32f,
title = "Subjective distributions",
abstract = "A decision maker has to choose one of several random variables whose distributions are not known. As a Bayesian, she behaves as if she knew the distributions. In this paper we suggest an axiomatic derivation of these (subjective) distributions, which is more economical than the derivations by de Finetti or Savage. Whereas the latter derive the whole joint distribution of all the available random variables, our approach derives only the marginal distributions. Correspondingly, the preference questionnaire needed in our case is less smaller.",
keywords = "Axiomatization, Distributions, Subjective probabilities",
author = "Itzhak Gilboa and David Schmeidler",
note = "Funding Information: We wish to thank Edi Karni, Peter Wakker, and an anonymous referee for comments. This work was partially supported by ISF grant No. 790/00.",
year = "2004",
month = jun,
doi = "10.1007/s11238-004-2596-7",
language = "אנגלית",
volume = "56",
pages = "345--357",
journal = "Theory and Decision",
issn = "0040-5833",
publisher = "Springer Netherlands",
number = "4",
}