Hostname: page-component-6d856f89d9-gndc8 Total loading time: 0 Render date: 2024-07-16T07:24:17.104Z Has data issue: false hasContentIssue false

A class of non-identifiable stochastic models

Published online by Cambridge University Press:  14 July 2016

Violet R. Cane*
Affiliation:
University of Manchester

Abstract

If events occur in time according to a stochastic process then, under not very restrictive conditions, each realization will appear to come from a Poisson process with its own rate provided that the events in the realization occur at effectively random times. This result is related to de Finetti's theorem on exchangeable events. Particular applications are to the Pólya process describing accidents and the pure birth process.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1977 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Blackwell, D. and Kendall, D. G. (1964) The Martin boundary for Pólya's urn scheme and an application to stochastic population growth. J. Appl. Prob. 2, 284296.Google Scholar
Cane, V. R. (1972) The concept of accident proneness. Bull. Inst. Math., Bulgaria 15, 183189.Google Scholar
Feller, W. (1966) An Introduction to Probability Theory and its Applications II. Wiley, New York.Google Scholar
Kendall, D. G. (1949) Stochastic processes and population growth. J. R. Statist. Soc. 11, 230264.Google Scholar