Hostname: page-component-848d4c4894-5nwft Total loading time: 0 Render date: 2024-05-17T05:05:38.675Z Has data issue: false hasContentIssue false

Ergodicity of a certain class of Non Feller Models: Applications to ARCH and Markov switching models

Published online by Cambridge University Press:  15 September 2004

Jean-Gabriel Attali*
Affiliation:
ENSAE, Timbre J120, Bureau E01, 3 avenue Pierre Larousse, 92245 Malakoff Cedex, France; attali@ensae.fr.
Get access

Abstract

We provide an extension of topological methods applied to a certain class of Non Feller Models which we call Quasi-Feller. We give conditions to ensure the existence of a stationary distribution. Finally, we strengthen the conditions to obtain a positive Harris recurrence, which in turn implies the existence of a strong law of large numbers.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2004

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

P. Billingsley, Convergence of probability measures. John Wiley and Sons, New York (1968) 253.
M. Duflo, Méthodes Récursives Aléatoires. Techniques Stochastiques, Masson, Paris (1990) 359.
Duflo, M., Algorithmes Stochastiques. Math. Appl. 23 (1996) 319.
Harris, T.E., The existence of stationnary measures for certain markov processes. Proc. of the 3rd Berkeley Symposium on Mathematical Statistics and Probability 2 (1956) 113124.
S.P. Meyn and R.L Tweedie, Markov Chains and Stochastic Stability. Springer-Verlag (1993) 550.
Pakes, A.G., Some conditions for ergodicity and recurrence of markov chains. Oper. Res. 17 (1969) 10481061. CrossRef