Hyperfinite models of adapted probability logic
type: Item
instance of: scholarly article
title: Hyperfinite models of adapted probability logic
zbMATH Open document ID: 0601.03005
DOI: 10.1016/0168-0072(86)90063-1
author: H. Jerome Keisler
published in: Annals of Pure and Applied Logic
publication date: 1986-01-01T00:00:00Z
review text: This paper deals with the model theory of adapted probability logic, a logic appropriate to the study of continuous time stochastic processes. The paper shows that a certain class of models, the hyperfinite models, has certain useful homogeneity properties. These properties allow the hyperfinite models to serve similar functions to those of saturated models in first order logic.
Mathematics Subject Classification ID: 03B48
Mathematics Subject Classification ID: 60A05
Mathematics Subject Classification ID: 03H99
zbMATH DE Number: 3968562
zbMATH Keywords: continuous time stochastic processes
zbMATH Keywords: homogeneity properties
reviewed by: Henry E. jun. Kyburg
MaRDI profile type: Publication
full work available at URL: 0168-0072(86)90063-1
OpenAlex ID: W1982874112
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description: scientific article; zbMATH DE number 3968562