An extension of chaotic probability models to real-valued variables
type: Item
instance of: scholarly article
title: An extension of chaotic probability models to real-valued variables
zbMATH Open document ID: 1193.60006
author: P. I. Fierens
published in: International Journal of Approximate Reasoning
publication date: 2010-04-07T00:00:00Z
review text: This paper focuses on a frequentist interpretation of sets of measures as probability models, which have been called chaotic probability models. Previous models dealt with sets of probability measures on finite algebras, that is, probability measures which can be related to variables with a finite number of possible values. In this paper, an extension of chaotic models is proposed in order to deal with the more general case of real-valued variables.
reviewed by: N. G. Gamkrelidze
Mathematics Subject Classification ID: 60A10
Mathematics Subject Classification ID: 65C50
zbMATH DE Number: 5690156
zbMATH Keywords: chaotic probability models
zbMATH Keywords: frequentist interpretation
MaRDI profile type: Publication
full work available at URL: j.ijar.2008.09.003
OpenAlex ID: W2123417948
cites work: Q3373046
cites work: Domains for Computation in Mathematics, Physics and Exact Real Arithmetic
cites work: A frequentist understanding of sets of measures
cites work: Q3997990
cites work: Q5667036
cites work: Q4436366
DOI: 10.1016/J.IJAR.2008.09.003
description: scientific article; zbMATH DE number 5690156