The current definition of a conditional probability enables one to update probabilities only on the basis of stochastic information. This paper provides a definition for conditional probability with non-stochastic information. The definition is derived by a set of axioms, where the information is connected to the outcome of interest via a loss function. An illustration is presented.

Bissiri, P., Walker, S. (2018). A Definition of Conditional Probability with Non-Stochastic Information. ENTROPY, 20(8) [10.3390/e20080572].

A Definition of Conditional Probability with Non-Stochastic Information

Bissiri, Pier Giovanni
;
2018

Abstract

The current definition of a conditional probability enables one to update probabilities only on the basis of stochastic information. This paper provides a definition for conditional probability with non-stochastic information. The definition is derived by a set of axioms, where the information is connected to the outcome of interest via a loss function. An illustration is presented.
Articolo in rivista - Articolo scientifico
Conditional probability; Loss function; Non-stochastic information;
English
2018
20
8
572
open
Bissiri, P., Walker, S. (2018). A Definition of Conditional Probability with Non-Stochastic Information. ENTROPY, 20(8) [10.3390/e20080572].
File in questo prodotto:
File Dimensione Formato  
Bissiri-2019-Entropy-VoR.pdf

accesso aperto

Descrizione: Research paper
Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Creative Commons
Dimensione 244.7 kB
Formato Adobe PDF
244.7 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/443718
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
Social impact