Logo del repository
  1. Home
 
Opzioni

Representing complete and incomplete subjective linear preferences on random numbers

GIROTTO, BRUNO
•
HOLZER, SILVANO
2003
  • journal article

Periodico
DECISIONS IN ECONOMICS AND FINANCE
Abstract
We show that preferences on random numbers which satisfy certain natural properties can be represented, in the setting of topological vector spaces, by a suitable family of continuous previsions which is, in a sense, unique. Moreover, for most commonly used spaces of random numbers, we establish that one can derive these preferences, via an expectation operator, from a suitable family of probabilities (whether or not finitely additive).
Archivio
http://hdl.handle.net/11368/1695672
Diritti
metadata only access
Soggetti
  • finitely additive pro...

  • prevision

  • preorder

  • coherent preference

Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback