Decision making with imprecise probabilistic information

By Thibault Gajdos, Jean-Marc Tallon, Jean-Christophe Vergnaud. 2004

99 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/cca8123cf43103a030ba047e616b76584a7ab0da

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jörg Stoye
2. Yanqin Fan
3. T. Armstrong
4. Joel L. Horowitz
5. Sang Soo Park
6. Stefan Hoderlein
7. Joachim Freyberger

In General Decision Sciences

1. Jörg Stoye

In Management Science and Operations Research

1. Jörg Stoye

Citations in the corpus

• Statistical decisions under ambiguity (2011, background): “Gajdos et al. (2004) take as given a set of priors that contains a reference prior and then axiomatize maximin utility with respect to a behavioral object C that must however be a subset of S. Hayashi (2003), within a similar environment, axiomatizes maximin utility with respect to an object C…”