No CrossRef data available.
Article contents
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
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.
Keywords
- Type
- Research Article
- Information
- Copyright
- © EDP Sciences, SMAI, 2004
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) 113–124.
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) 1048–1061.
CrossRef